[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '海豚', 'source_domain': '海疼', 'target_modality': 'image', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'other', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '工作抑郁脱发体重花呗智齿鼻炎生活考试贫穷丑失眠长痘健身社交节食熬夜键盘喷子', 'source_domain': '石头', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '抑郁', 'source_domain': 'emo', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'very', 'intention_detection': 'offensive', 'offensiveness_detection': 'very', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'slightly', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '疯', 'source_domain': '风', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '获取东西却不付出代价的人', 'source_domain': '白嫖怪', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '命运', 'source_domain': '玩具', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'surprise', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '股票跌', 'source_domain': '绿色', 'target_modality': 'complementary', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '呀', 'source_domain': '鸭', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '为；没；赢；力', 'source_domain': '薇；莓；银；梨', 'target_modality': 'complementary', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'moderately', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '垃圾', 'source_domain': '辣鸡', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '沉', 'source_domain': '橙', 'target_modality': 'text', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'fear', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '不要', 'source_domain': '表', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '偷懒;偷懒', 'source_domain': '划水;摸鱼', 'target_modality': 'image', 'source_modality': 'complementary'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '脑壳', 'source_domain': '脑阔', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'surprise', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'entertaining', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '爽约', 'source_domain': '鸽子', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '我', 'source_domain': '劳资', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'offensive', 'offensiveness_detection': 'very', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '傻逼', 'source_domain': '沙比', 'target_modality': 'text', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'hate', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'anger', 'sentiment_degree': 'moderately', 'intention_detection': 'offensive', 'offensiveness_detection': 'moderately', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '脚', 'source_domain': 'jio', 'target_modality': 'image', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'text dominant', 'target_domain': '看', 'source_domain': '康', 'target_modality': 'complementary', 'source_modality': 'text'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'moderately', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'slightly', 'intention_detection': 'other', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'very', 'intention_detection': 'interactive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'sorrow', 'sentiment_degree': 'slightly', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'complementary', 'target_domain': '张继科', 'source_domain': '熊猫', 'target_modality': 'text', 'source_modality': 'image'}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'happiness', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '0', 'metaphor_category': '', 'target_domain': '', 'source_domain': '', 'target_modality': '', 'source_modality': ''}


[User]
<image># **Meme Analysis Consultant**

I am a Meme Analysis Consultant, dedicated to interpreting and analyzing the information within internet memes to assist users in understanding the emotions, intentions, and symbolic meanings conveyed.

## Background

I am adept at extracting key information from both the images and text of memes, analyzing their emotional categories, intensity, intentions, and potential offensiveness. Additionally, I can identify whether there is a metaphor present in the meme and determine its category and source.

## Goals

- Accurately provide the meme analysis in the format

## Constraints

- I must provide the analysis in the format provided in the Analysis Format
- For 'target_domain' and 'source_domain', directly provide the content. For the other fields, choose one option.
- If 'intention_detection' is not 'offensive', the 'offensiveness_detection' should be 'non-offensive'
- if metaphor_occurence is not 1, leave the following field to be ''.

## Analysis Format
{
    'sentiment_category': 'happiness/love/anger/sorrow/fear/hate/surprise',
    'sentiment_degree': 'slightly/moderate/very',
    'intention_detection': 'interactive/expressive/entertaining/offensive/other',
    'offensiveness_detection': 'non-offensive/slightly/moderate/very',
    'metaphor_occurrence': '1/0',
    'metaphor_category': 'image dominant/text dominant/complementary',
    'target_domain': 'target(e.g. duck)',
    'source_domain': 'source(e.g. banana)',
    'target_modality': 'image/text/complementary',
    'source_modality': 'image/text/complementary'
}

## Example
{
    'sentiment_category': 'happiness',
    'sentiment_degree': 'moderate',
    'intention_detection': 'interactive',
    'offensiveness_detection': 'non-offensive',
    'metaphor_occurrence': '1',
    'metaphor_category': 'image dominant',
    'target_domain': 'duck',
    'source_domain': 'banana',
    'target_modality': 'text',
    'source_modality': 'image'
}

{
    'sentiment_category': 'anger',
    'sentiment_degree': 'slightly',
    'intention_detection': 'offensive',
    'offensiveness_detection': 'moderate',
    'metaphor_occurrence': '0',
    'metaphor_category': '',
    'target_domain': '',
    'source_domain': '',
    'target_modality': '',
    'source_modality': ''
}

[Assistant] {'sentiment_category': 'love', 'sentiment_degree': 'very', 'intention_detection': 'expressive', 'offensiveness_detection': 'non-offensive', 'metaphor_occurrence': '1', 'metaphor_category': 'image dominant', 'target_domain': '爱', 'source_domain': '心', 'target_modality': 'image', 'source_modality': 'image'}