Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification
Aditya Paranjape, Gaurav Kolhatkar, Yash Patwardhan, Omkar Gokhale, Shweta Dharmadhikari
Abstract
In this paper, we highlight our approach for the “WASSA 2023 Shared-Task 1: Empathy Detection and Emotion Classification”. By accurately identifying emotions from textual sources of data, deep learning models can be trained to understand and interpret human emotions more effectively. The classification of emotions facilitates the creation of more emotionally intelligent systems that can better understand and respond to human emotions. We compared multiple transformer-based models for multi-label classification. Ensembling and oversampling were used to improve the performance of the system. A threshold-based voting mechanism performed on three models (Longformer, BERT, BigBird) yields the highest overall macro F1-score of 0.6605.- Anthology ID:
- 2023.wassa-1.51
- Volume:
- Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Jeremy Barnes, Orphée De Clercq, Roman Klinger
- Venue:
- WASSA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 558–563
- Language:
- URL:
- https://aclanthology.org/2023.wassa-1.51
- DOI:
- 10.18653/v1/2023.wassa-1.51
- Cite (ACL):
- Aditya Paranjape, Gaurav Kolhatkar, Yash Patwardhan, Omkar Gokhale, and Shweta Dharmadhikari. 2023. Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment, & Social Media Analysis, pages 558–563, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Converge at WASSA 2023 Empathy, Emotion and Personality Shared Task: A Transformer-based Approach for Multi-Label Emotion Classification (Paranjape et al., WASSA 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.wassa-1.51.pdf