LyS at TASS 2014A Prototype for Extracting and Analysing Aspects from Spanish tweets

  1. David Vilares 1
  2. Yerai Doval 1
  3. Miguel A. Alonso 1
  4. Carlos Gómez-Rodríguez 1
  1. 1 Universidade da Coruña
    info

    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

Book:
TASS 2014 - Workshop on Sentiment Analysis at SEPLN: Workshop proceedings : XXX Congreso de la Sociedad Española de Procesamiento de Lenguaje Natural SEPLN 2014

Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural

Year of publication: 2014

Congress: Sociedad Española para el Procesamiento del Lenguaje Natural. Congreso (30. 2014. Girona)

Type: Conference paper

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Abstract

This paper describes our participation at the third edition of the work- shop on Sentiment Analysis focused on Spanish tweets, tass 2014. This year’s eval- uation campaign includes four challenges: (1) global sentiment analysis, (2) topic classification, (3) aspect-extraction and (4) aspect-based sentiment analysis. Tasks 1 and 2 are addressed from a machine learning approach, using several linguistic resources and other information extracted from the training corpus to feed to a su- pervised classifier. With respect to task 3, we develop a naive approach, collecting a set of representations to identify the predefined aspects requested by the organisers. Finally, task 4 uses heuristics to identify the scope of each aspect, to then classify their sentiment via a supervised classifier. The experimental results are promising and will serve us as the starting point to develop more complex techniques.

Data source: Dialnet