Abstract
In this paper, we describe a methodology to predict emoji in tweets. Our approach is based on the classic bag-of-words model in conjunction with word embeddings. The used classification algorithm was Logistic Regression. This architecture was used and evaluated in the context of the SemEval 2018 challenge (task 2, subtask 1).- Anthology ID:
- S18-1064
- 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:
- 415–418
- Language:
- URL:
- https://aclanthology.org/S18-1064
- DOI:
- 10.18653/v1/S18-1064
- Cite (ACL):
- Alison Ribeiro and Nádia Silva. 2018. #TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 415–418, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- #TeamINF at SemEval-2018 Task 2: Emoji Prediction in Tweets (Ribeiro & Silva, SemEval 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/S18-1064.pdf