SINAI: Syntactic Approach for Aspect-Based Sentiment Analysis

نویسندگان

  • Salud M. Jiménez Zafra
  • Eugenio Martínez-Cámara
  • Maria Teresa Martín-Valdivia
  • Luis Alfonso Ureña López
چکیده

This paper describes the participation of the SINAI research group in the task Aspect Based Sentiment Analysis of SemEval Workshop 2015 Edition. We propose a syntactic approach for identifying the words that modify each aspect, with the aim of classifying the sentiment expressed towards each attribute of an entity.

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تاریخ انتشار 2015