Manuscript Number : IJSRSET151137
Multiple Product Aspect Ranking using Sentiment Classification
Authors(4) :-Ms. Sangeetha C. K, Ms. MohanaPriya V, Ms. Rashmika S, Mrs. Abirami G
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
Aspect rating, aspect recognition, consumer reviews, opinions, product aspects, sentient assortment, graphical representation
Publication Details
Published in :
Volume 1 | Issue 1 | January-February 2015 Article Preview
Department of Information Technology, Dhanalakshmi College of Engineering, Chennai, Tamil Nadu, India.
Ms. MohanaPriya V
Department of Information Technology, Dhanalakshmi College of Engineering, Chennai, Tamil Nadu, India.
Ms. Rashmika S
Department of Information Technology, Dhanalakshmi College of Engineering, Chennai, Tamil Nadu, India.
Mrs. Abirami G
Department of Information Technology, Dhanalakshmi College of Engineering, Chennai, Tamil Nadu, India.
Date of Publication :
2015-02-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
165-169
Manuscript Number :
IJSRSET151137
Publisher : Technoscience Academy
Journal URL :
https://ijsrset.com/IJSRSET151137