This article presents the participation of the SINAI research group in the task Sentiment Analysis in Twitter of the SemEval Workshop. Our proposal consists of a voting system of three polarity classifiers which follow a lexicon-based approach.
CITATION STYLE
Martínez-Cámara, E., Jiménez-Zafra, S. M., Martín-Valdivia, M. T., & Ureña-López, L. A. (2014). SINAI: Voting System for Twitter Sentiment Analysis. In 8th International Workshop on Semantic Evaluation, SemEval 2014 - co-located with the 25th International Conference on Computational Linguistics, COLING 2014, Proceedings (pp. 572–577). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/s14-2100
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