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Fine Grained Opinion Mining from Online Reviews for Product Recommendation

Authors(2):

Rahul S. Gaikwad, Dr. B. L. Gunjal
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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.

Rahul S. Gaikwad, Dr. B. L. Gunjal

Opinion target, Opinion words, Opinion orientation, Recommendation.

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Publication Details

Published in : Volume 2 | Issue 3 | May-June - 2016
Date of Publication Print ISSN Online ISSN
2016-06-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
410-416 IJSRSET1623127   Technoscience Academy

Cite This Article

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.
URL : http://ijsrset.com/IJSRSET1623127.php