INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis
Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez, Daniela Moctezuma
Abstract
This paper describes our participation in Affective Tweets task for emotional intensity and sentiment intensity subtasks for English, Spanish, and Arabic languages. We used two approaches, μTC and EvoMSA. The first one is a generic text categorization and regression system; and the second one, a two-stage architecture for Sentiment Analysis. Both approaches are multilingual and domain independent.- Anthology ID:
- S18-1020
- Volume:
- Proceedings of the 12th International Workshop on Semantic Evaluation
- Month:
- June
- Year:
- 2018
- Address:
- New Orleans, Louisiana
- Venues:
- SemEval | *SEM
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 146–150
- Language:
- URL:
- https://aclanthology.org/S18-1020
- DOI:
- 10.18653/v1/S18-1020
- Cite (ACL):
- Mario Graff, Sabino Miranda-Jiménez, Eric S. Tellez, and Daniela Moctezuma. 2018. INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 146–150, New Orleans, Louisiana. Association for Computational Linguistics.
- Cite (Informal):
- INGEOTEC at SemEval-2018 Task 1: EvoMSA and μTC for Sentiment Analysis (Graff et al., SemEval-*SEM 2018)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/S18-1020.pdf