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Natural Language Processing and Information Systems

Volume 6716 of the series Lecture Notes in Computer Science pp 169-176

Opinion Classification Techniques Applied to a Spanish Corpus

  • Eugenio Martínez-CámaraAffiliated withLancaster UniversityDepartment of Computer Science, SINAI - Sistemas Inteligentes de Acceso a la Información, University of Jaén
  • , M. Teresa Martín-ValdiviaAffiliated withLancaster UniversityDepartment of Computer Science, SINAI - Sistemas Inteligentes de Acceso a la Información, University of Jaén
  • , L. Alfonso Ureña-LópezAffiliated withLancaster UniversityDepartment of Computer Science, SINAI - Sistemas Inteligentes de Acceso a la Información, University of Jaén

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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