Mining Domain-Specific Dictionaries of Opinion Words

  • Pantelis Agathangelou
  • Ioannis Katakis
  • Fotios Kokkoras
  • Konstantinos Ntonas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8786)

Abstract

The task of opinion mining has attracted interest during the last years. This is mainly due to the vast availability and value of opinions on-line and the easy access of data through conventional or intelligent crawlers. In order to utilize this information, algorithms make extensive use of word sets with known polarity. This approach is known as dictionary-based sentiment analysis. Such dictionaries are available for the English language. Unfortunately, this is not the case for other languages with smaller user bases. Moreover, such generic dictionaries are not suitable for specific domains. Domain-specific dictionaries are crucial for domain-specific sentiment analysis tasks. In this paper we alleviate the above issues by proposing an approach for domain-specific dictionary building. We evaluate our approach on a sentiment analysis task. Experiments on user reviews on digital devices demonstrate the utility of the proposed approach. In addition, we present NiosTo, a software that enables dictionary extraction and sentiment analysis on a given corpus.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Pantelis Agathangelou
    • 1
  • Ioannis Katakis
    • 2
  • Fotios Kokkoras
    • 3
  • Konstantinos Ntonas
    • 4
  1. 1.Open University of CyprusNicosiaCyprus
  2. 2.National and Kapodistrian University of AthensAthensGreece
  3. 3.Technological Educational Institute of ThessalyLarisaGreece
  4. 4.International Hellenic UniversityThessalonikiGreece

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