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README.md

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+---
+tags: [text-classification, emotion-detection, roberta, data-augmentation, llm, hci]
+datasets: [dair-ai/emotion]
+---
+# MoodShift — RoBERTa+ESA+TF-IDF+FL with LLM Data Augmentation
+Novel contribution: LLM-based minority class augmentation via Groq (llama-3.3-70b)
+
+with self-consistency filtering for label fidelity.
+
+Test Accuracy: **0.9265** | Macro F1: **0.8926**
+
+Baseline (no augmentation): Acc=0.9235 | F1=0.8831
+
+ICCA 2026 HCI Research — MoodShift Adaptive Chatbot

config.json

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+{
+  "model_type": "emotion_aware_roberta_esa_tfidf_focal_augmented",
+  "backbone": "roberta-base",
+  "num_labels": 6,
+  "id2label": {
+    "0": "sadness",
+    "1": "joy",
+    "2": "love",
+    "3": "anger",
+    "4": "fear",
+    "5": "surprise"
+  },
+  "label2id": {
+    "sadness": 0,
+    "joy": 1,
+    "love": 2,
+    "anger": 3,
+    "fear": 4,
+    "surprise": 5
+  },
+  "max_len": 128,
+  "augmentation": "llm_groq_llama33_70b_self_consistency_filtered",
+  "test_accuracy": 0.9265,
+  "test_macro_f1": 0.8926,
+  "test_weighted_f1": 0.9288,
+  "vs_baseline_acc": 0.9235,
+  "vs_baseline_f1": 0.8831
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:60f3e7cae798f650dfab9a32af0bc410db87555e0135c5617db48d68bd028a52
+size 511286463

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "is_local": false,
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}