Research on Clothing Product Reviews Mining Based on the Maximum Entropy

Journal Title: EAI Endorsed Transactions on Energy Web - Year 2015, Vol 1, Issue 4

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%.

Authors and Affiliations

Pengfei Feng, Qinghong Yang

Keywords

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  • EP ID EP45126
  • DOI http://dx.doi.org/10.4108/eai.19-8-2015.2260919
  • Views 328
  • Downloads 0

How To Cite

Pengfei Feng, Qinghong Yang (2015). Research on Clothing Product Reviews Mining Based on the Maximum Entropy. EAI Endorsed Transactions on Energy Web, 1(4), -. https://www.europub.co.uk/articles/-A-45126