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Transformer based ensemble for emotion detection

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arxiv 2203.11899 v2 pith:PFOJF74E submitted 2022-03-22 cs.CL

Aditya Kane , Shantanu Patankar , Sahil Khose , Neeraja Kirtane This is my paper · ORCID
classification cs.CL
keywords wassataskdetectionemotionemotionsensemblehttpsshared
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abstract

Detecting emotions in languages is important to accomplish a complete interaction between humans and machines. This paper describes our contribution to the WASSA 2022 shared task which handles this crucial task of emotion detection. We have to identify the following emotions: sadness, surprise, neutral, anger, fear, disgust, joy based on a given essay text. We are using an ensemble of ELECTRA and BERT models to tackle this problem achieving an F1 score of $62.76\%$. Our codebase (https://bit.ly/WASSA_shared_task) and our WandB project (https://wandb.ai/acl_wassa_pictxmanipal/acl_wassa) is publicly available.

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