|
Abstract
|
Article Information:
Rice Products Feature Analyzing on the Base of Online Review Mining
Xixiang Sun, Xiaoqing Song and Xiangdong Liu
Corresponding Author: Xixiang Sun
Submitted: August 31, 2014
Accepted: September 20, 2014
Published: January 05, 2015 |
Abstract:
|
This study aims to investigate the rice product features using online review mining method. The opinion mining is used to do online review data analyze. High-frequency words were extracted from non-structured online reviews text. Then the rice product features were gotten from the factor analysis on the base of high-frequency words. This provided a new method for product feature analyzing which was based on the data mining of online reviews. The proposed method can be used to compare features of rice products which were in the similar category. It also provided new views for understanding consumer brand knowledge. At the end of this study, the online review of rice products were used to verify the scientificity and rationality of this method.
Key words: Data mining, online review, opinion mining, rice products, , , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Xixiang Sun, Xiaoqing Song and Xiangdong Liu, . Rice Products Feature Analyzing on the Base of Online Review Mining. Advance Journal of Food Science and Technology, (1): 49-53.
|
|
|
|
 |
ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
