|
Abstract
|
Article Information:
A Novel Opinion Mining Technique for Product Review Based on Preferences
G.R. Brindha and B. Santhi
Corresponding Author: G.R. Brindha
Submitted: March 31, 2012
Accepted: April 17, 2012
Published: December 01, 2012 |
Abstract:
|
As loading of opinions on the Internet increasing, the people have the tendency to seek advice from
the Internet to find out other people’s opinions about all fields. Web contains valid opinion information such
as product, movie descriptive reviews etc. Because of this, the emerging research field such as opinion mining
and sentiment analysis is essentially needed. Objective of this study is to provide a decision making tool to
guide the consumer for purchasing two wheelers. This study aims to design decision making system based on
algorithmic approach. Several methods have been proposed with some limitations. This study includes different
parameters for getting accurate decision. The parameters are cost, mileage, style, comfort and performance. The
strength of the proposed method is inclusion of weight factor and preference factor. Experimental analysis
shows that, this method provides guidelines for both consumer and manufacturer to decide, which are missing
in existing system.
Key words: Decision classification, opinion mining, preference, ranking, weight factor, ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
G.R. Brindha and B. Santhi, . A Novel Opinion Mining Technique for Product Review Based on Preferences. Research Journal of Applied Sciences, Engineering and Technology, (23): 5084-5088.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
