Fine Grained Opinion Mining from Online Reviews for Product Recommendation

Authors

  • Rahul S. Gaikwad  Department of Computer Engineering, Amrutvahini College of Engineering, Sangamner, Maharashtra, India
  • Dr. B. L. Gunjal  Department of Computer Engineering, Amrutvahini College of Engineering, Sangamner, Maharashtra, India

Keywords:

Opinion target, Opinion words, Opinion orientation, Recommendation.

Abstract

Fine grained opinion mining is an important task in today’s E-business world. Customers and manufacturers wanted to know about products in details. So in this paper we have studied opinion targets and opinion word extraction through dependency parsing and by applying syntactic patterns. Previously developed double propagation approach is useful for extraction task with addition of some syntactic relations. Also finding opinion orientation can be performed using dictionary and some contrary words, conjunctions. We can also generate a summary to analysis and recommendations. By using opinion target list and opinion word lexicon we can achieve better results.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-06-30

Issue

Volume 2, Issue 3, May-June-2016

Section

Research Articles

License

Copyright (c) IJSRSET

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

How to Cite

[1]
Rahul S. Gaikwad, Dr. B. L. Gunjal, " Fine Grained Opinion Mining from Online Reviews for Product Recommendation, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 3, pp.410-416, May-June-2016.