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Ontology‐supported polarity mining

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  • Lina Zhou
  • Pimwadee Chaovalit

Abstract

Polarity mining provides an in‐depth analysis of semantic orientations of text information. Motivated by its success in the area of topic mining, we propose an ontology‐supported polarity mining (OSPM) approach. The approach aims to enhance polarity mining with ontology by providing detailed topic‐specific information. OSPM was evaluated in the movie review domain using both supervised and unsupervised techniques. Results revealed that OSPM outperformed the baseline method without ontology support. The findings of this study not only advance the state of polarity mining research but also shed light on future research directions.

Suggested Citation

  • Lina Zhou & Pimwadee Chaovalit, 2008. "Ontology‐supported polarity mining," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 98-110, January.
    • Handle: RePEc:bla:jamist:v:59:y:2008:i:1:p:98-110
    DOI: 10.1002/asi.20735
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    Cited by:

    1. Konstantinos Sikelis & George E. Tsekouras & Konstantinos Kotis, 2021. "Ontology-Based Feature Selection: A Survey," Future Internet, MDPI, vol. 13(6), pages 1-28, June.

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