Extraction of Feature in Opinion Mining using Domain Relevance

Authors

  • Prasad P. Mahale  Computer Engineering Department, R. C. Patel Institute of Technology, Shirpur, Dhule, Maharashtra, India

Keywords:

Extract, Opinion, features, Mining, Domain.

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.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-30

Issue

Volume 3, Issue 3, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Prasad P. Mahale, " Extraction of Feature in Opinion Mining using Domain Relevance, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1978-1986, March-April-2018.