Transformer based ensemble for emotion detection
Aditya Kane, Shantanu Patankar, Sahil Khose, Neeraja Kirtane · 2022
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 1 and our WandB project 2 is publicly available.