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Multiple Product Aspect Ranking using Sentiment Classification


Ms. Sangeetha C. K, Ms. MohanaPriya V, Ms. Rashmika S, Mrs. Abirami G
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Consumers normally seek tone information from online reviews prior purchasing a product, while many business firms use online customer reviews as significant feedbacks in developing, marketing and promoting their product. The objective of our work is proposing a product aspect ranking framework, which automatically identifies the important aspects of products from online consumer reviews, aiming at making it easier for the consumers in buying the product by using the numerous online consumer reviews. Millions of reviews from various websites are clustered and made visible within each website by means of graphical representations of each aspect of different products. Therefore, our approach gives way to an iterative visual investigation and allows fast analysis of online consumer reviews.

Ms. Sangeetha C. K, Ms. MohanaPriya V, Ms. Rashmika S, Mrs. Abirami G

Aspect rating, aspect recognition, consumer reviews, opinions, product aspects, sentient assortment, graphical representation


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Publication Details

Published in : Volume 1 | Issue 1 | January-Febuary - 2015
Date of Publication Print ISSN Online ISSN
2015-02-25 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
165-169 IJSRSET151137   Technoscience Academy

Cite This Article

Ms. Sangeetha C. K, Ms. MohanaPriya V, Ms. Rashmika S, Mrs. Abirami G, "Multiple Product Aspect Ranking using Sentiment Classification", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.165-169, January-Febuary-2015.
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