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
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:
146–150
Language:
URL:
https://aclanthology.org/S18-1020
DOI:
10.18653/v1/S18-1020
Bibkey:
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 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1020.pdf