Abstract
This paper describes MuTuX, our system that is designed for task 1-5a, emotion classification analysis of tweets on SemEval2018. The system aims at exploring the potential of context information of terms for emotion analysis. A Recurrent Neural Network is adopted to capture the context information of terms in tweets. Only term features and the sequential relations are used in our system. The results submitted ranks 16th out of 35 systems on the task of emotion detection in English-language tweets.- Anthology ID:
- S18-1052
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Editors:
- Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 345–349
- Language:
- URL:
- https://aclanthology.org/S18-1052
- DOI:
- 10.18653/v1/S18-1052
- Cite (ACL):
- Pan Du and Jian-Yun Nie. 2018. Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 345–349, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- Mutux at SemEval-2018 Task 1: Exploring Impacts of Context Information On Emotion Detection (Du & Nie, SemEval 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/S18-1052.pdf