GTI-Gradiant at TASS 2015: A Hybrid Approach for Sentiment Analysis in Twitter

نویسندگان

  • Tamara Álvarez-López
  • Jonathan Juncal-Martínez
  • Milagros Fernández Gavilanes
  • Enrique Costa-Montenegro
  • Francisco Javier González-Castaño
  • Héctor Cerezo-Costas
  • Diego Celix-Salgado
چکیده

This paper describes the participation of the GTI research group of AtlantTIC, University of Vigo, and Gradiant (Galician Research and Development Centre in Advanced Telecommunications), in the tass 2015 workshop. Both groups have worked together in the development of a hybrid approach for sentiment analysis, at a global level, of Twitter, proposed in task 1 of tass. A system based on classifiers and unsupervised approaches, built with polarity lexicons and syntactic structures, is presented here. The combination of both approaches has provided highly competitive results over the given datasets.

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تاریخ انتشار 2015