Paper Info
Title
Research on clothing product reviews mining based on the maximum entropy
Abstract
This paper excavated the review theme of clothing products by method of association rules, and built a maximum entropy model for the reviews classification. Then this paper did experimental verification to large-scale clothing product reviews classification, which verified the practical effect that maximum entropy model had in the comment text classification problems. In the process of classification, the maximum entropy model had a good effect, of which accuracy was over 90%.
Year
DOI
Venue
2015
10.4108/eai.19-8-2015.2260919
Quality of Service in Heterogeneous Wired/Wireless Networks
Keywords
Field
DocType
association rules, the maximum entropy, review classification
Data mining,Computer science,Clothing,Association rule learning,Product reviews,Principle of maximum entropy
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
Qinghong Yang120.75
Pengfei Feng200.68