INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers
Daniela Moctezuma, Eric Tellez, Jose Ortiz Bejar, Mireya Paredes
Abstract
The Emotion Recognition in Conversation subtask aims to predict the emotions of the utterance of a conversation. In its most basic form, one can treat each utterance separately without considering that it is part of a conversation. Using this simplification, one can use any text classification algorithm to tackle this problem. This contribution follows this approach by solving the problem with different text classifiers based on Bag of Words. Nonetheless, the best approach takes advantage of the dynamics of the conversation; however, this algorithm is not statistically different than a Bag of Words with a Linear Support Vector Machine.- Anthology ID:
- 2024.semeval-1.162
- Volume:
- Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
- Month:
- June
- Year:
- 2024
- Address:
- Mexico City, Mexico
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Harish Tayyar Madabushi, Giovanni Da San Martino, Sara Rosenthal, Aiala Rosá
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1115–1120
- Language:
- URL:
- https://aclanthology.org/2024.semeval-1.162
- DOI:
- Cite (ACL):
- Daniela Moctezuma, Eric Tellez, Jose Ortiz Bejar, and Mireya Paredes. 2024. INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers. In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1115–1120, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers (Moctezuma et al., SemEval 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.semeval-1.162.pdf