sbx/KB-bert-base-swedish-cased_posneg_attitude

This model annotates object of positive and negative attitude in Swedish, in the form of BIO-tags. Example: Jag_O älskar_O glass_POS med_POS strössel_POS

Model Details

Model Description

Developed by: Språkbanken Text Shared by: Anna Lindahl (Annna)
Model type: BERT for token classification
Language(s): Swedish
License: GPL-3.0
Finetuned from model: KB/bert-base-swedish-cased
Paper: Annotating Attitude in Swedish Political Tweets (link)

Bias, Risks, and Limitations

This model has only been trained on one domain, therefore it might not perform well on other domains.

Model Card Authors

Anna Lindahl (Annna)

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Safetensors

Model size

0.1B params

Tensor type

F32

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Paper for sbx/KB-bert-base-swedish-cased_posneg_attitude

Quantifying the Carbon Emissions of Machine Learning

Paper • 1910.09700 • Published Oct 21, 2019 • 43