NLP-Project---Group-25: Emotion Cause Analysis in Conversations Using Textual Data

Course project of CSE556: Natural Language Processing Winter Semester 2024

Submitted To:

Dr Md. Shad Akhtar (Instructor of CSE556 Course)

Mr Nimesh Yadav (Head TA of CSE556 Course)

Other TAs of the CSE556 Course

About The Project:

This project aims to create a deep-learning model for emotion recognition in conversation (ERC), identifying emotion from the cause utterance in conversation and Cause pair identification in the conversations of textual data. This method will help different researchers create better AI-based conversational systems in the future.

Acknowledgement:

Unsung Heros of Stack Overflow, Github, Medium Blogs, HuggingFace Tutorials, Towards Data Science Web Blogs, Kaggle Notebooks, YouTube videos, Research papers, etc.

References and Bibliography:

[1] Wang, F., Ding, Z., Xia, R., Li, Z., & Yu, J. (2022). Multimodal emotion-cause pair extraction in conversations. IEEE Transactions on Affective Computing.

[2] S. Zahiri and J. D. Choi. Emotion Detection on TV Show Transcripts with Sequence-based Convolutional Neural Networks. In The AAAI Workshop on Affective Content Analysis, AFFCON'18, 2018.

[3] S. Poria, D. Hazarika, N. Majumder, G. Naik, E. Cambria, R. Mihalcea. MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation. ACL 2019.

[4] Vardhan Mathur, S., Jindal, A. R., Mittal, H., & Shrivastava, M. (2024). LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task. arXiv e-prints, arXiv-2404.

[5] Wang, F., Ma, H., Xia, R., Yu, J., & Cambria, E. (2024, June). SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in Conversations. Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2022–2033. Retrieved from https://aclanthology.org/2024.semeval2024-1.273.

[6] Kim, T., & Vossen, P. Emoberta: Speaker-aware emotion recognition in conversation with Roberta. arXiv 2021. arXiv preprint arXiv:2108.12009.

[7] https://github.com/akshettrj/semeval2024_task03.

[8] https://github.com/tae898/erc.

Authors:

Mahisha Ramesh

Shaina Mehta

Vatsal Lakhmani

Contribution of Each Team Member in the Project :

Shaina Mehta - Done the problem formulation, performed Emotion Recognition From The Cause Utterances and Candidate Cause Identification and helped write the report.

Mahisha Ramesh - Done the problem formulation, performed the Emotion Recognition in Conversation Task and helped in report writing and poster making.

Vatsal Lakhmani - Done the problem formulation, performed the Emotion Recognition in Conversation Task and helped in report writing and poster making.