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Word Polarity Detection Using a Multilingual Approach

  • Cüneyd Murad Özsert
  • Arzucan Özgür
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7817)

Abstract

Determining polarity of words is an important task in sentiment analysis with applications in several areas such as text categorization and review analysis. In this paper, we propose a multilingual approach for word polarity detection. We construct a word relatedness graph by using the relations in WordNet of a given language. We extend the graph by connecting the WordNets of different languages with the help of the Inter-Lingual-Index based on English WordNet. We develop a semi-automated procedure to produce a set of positive and negative seed words for foreign languages by using a set of English seed words. To identify the polarity of unlabeled words, we propose a method based on random walk model with commute time metric as proximity measure. We evaluate our multilingual approach for English and Turkish and show that it leads to improvement in performance for both languages.

Keywords

Semantic orientation word polarity sentiment analysis random walk model commute time hitting time WordNet 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Cüneyd Murad Özsert
    • 1
  • Arzucan Özgür
    • 1
  1. 1.Department of Computer EngineeringBoğaziçi UniversityBebekTurkey

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