Fine tuned DistilRoBERTa base for Emotion Classification 🤬🤢😀😐😭😲 Model Description DistilRoBERTa base is a transformer model that performs sentiment analysis. I fine tuned the model on transcripts from the Friends show with the goal of classifying emotions from text data, specifically dialogue from Netflix shows or movies. The model predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutrality, sadness, and surprise. The model is a fine tuned version of Emotion English DistilRoBERTa base and DistilRoBERTa base. This model was initially trained on the following table from Emotion English DistilRoBERTa base: Name anger disgust fear joy neutral sadness surprise Crowdflower (2016) Yes Yes Yes Yes Yes Emotion Dataset, Elvis et al. (2018) Yes Yes Yes Yes Yes GoEmotions, Demszky et al. (2020) Yes Yes Yes Yes Yes Yes Yes ISEAR, Vikash (2018) Yes Yes Yes Yes Yes MELD, Poria et al. (2019) Yes Yes Yes Yes Yes Yes Yes SemEval 2018, EI reg, Mohammad et al. (2018) Yes Yes Yes Yes It was fine tuned on: Name anger disgust fear joy neutral sadness surprise Emotion Lines (Friends) Yes Yes Yes Yes Yes Yes Yes How to Use Contact Please reach out to mi…
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