Opinion Classification Techniques Applied to a Spanish Corpus

  • Eugenio Martínez-Cámara
  • M. Teresa Martín-Valdivia
  • L. Alfonso Ureña-López
Conference paper

DOI: 10.1007/978-3-642-22327-3_17

Volume 6716 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Martínez-Cámara E., Martín-Valdivia M.T., Ureña-López L.A. (2011) Opinion Classification Techniques Applied to a Spanish Corpus. In: Muñoz R., Montoyo A., Métais E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg

Abstract

Sentiment analysis is a new challenging task related to Text Mining and Natural Language Processing. Although there are some current works, most of them only focus on English texts. Web pages, information and opinions on the Internet are increasing every day, and English is not the only language used to write them. Other languages like Spanish are increasingly present so we have carried out some experiments over a Spanish film reviews corpus. In this paper we present several experiments using five classification algorithms (SVM, Nave Bayes, BBR, KNN, C4.5). The results obtained are very promising and encourage us to continue investigating in this line.

Keywords

Opinion mining sentiment polarity classification subjective corpora machine learning algorithms 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Eugenio Martínez-Cámara
    • 1
  • M. Teresa Martín-Valdivia
    • 1
  • L. Alfonso Ureña-López
    • 1
  1. 1.Department of Computer Science, SINAI - Sistemas Inteligentes de Acceso a la InformaciónUniversity of JaénSpain