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README.md
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## 📊 Dataset Used
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[**SemEval-2018-Task1-E-c**]("https://saifmohammad.com/WebDocs/AIT-2018/AIT2018-DATA/SemEval2018-Task1-all-data.zip")(2018): A large-scale multi-label emotion classification dataset, consisting of 10K tweets, annotated with 11 emotion categories. The dataset is diverse and representative of real-world emotional language, consisting of informal grammar, sarcasm, and ambiguous or context-dependent cues. We have utilized the full 11-label SemEval taxonomy to train and evaluate the model.
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## 📌 Model Performance (on Test)
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## 📊 Dataset Used
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[**SemEval-2018-Task1-E-c**]("https://saifmohammad.com/WebDocs/AIT-2018/AIT2018-DATA/SemEval2018-Task1-all-data.zip")(2018): A large-scale multi-label emotion classification dataset, consisting of 10K tweets, annotated with 11 emotion categories. The dataset is diverse and representative of real-world emotional language, consisting of informal grammar, sarcasm, and ambiguous or context-dependent cues. We have utilized the full 11-label SemEval-2018 taxonomy to train and evaluate the model.
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## 📌 Model Performance (on Test)
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