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Extraction of Feature in Opinion Mining using Domain Relevance

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  • Prasad P. Mahale

Abstract

Opinion mining is determining people's opinions, about entities such as products, services and their attributes. Opinion feature identification from online reviews evaluated in two domain corpora, one is domain specific, other is domain – independent corpus, and this evaluation is based on number of occurrence of that feature. Domain relevance is used to measure distribution. By applying a set of syntactic rules, identify candidate features in user reviews is primary task. Features extracted from this are specific to a domain. For each extracted candidate feature, extrinsic domain relevance and intrinsic domain relevance value are calculated.

Suggested Citation

  • Prasad P. Mahale, 2018. "Extraction of Feature in Opinion Mining using Domain Relevance," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 1978-1986, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit1833730
    Note: Article URL: https://ijsrcseit.com/CSEIT1833730
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