Research on Clothing Product Reviews Mining Based on the Maximum Entropy

Feng, Pengfei and Yang, Qinghong (2015) Research on Clothing Product Reviews Mining Based on the Maximum Entropy. EAI Endorsed Transactions on Creative Technologies, 2 (4). e2. ISSN 2032-944X

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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%.

Item Type: Article
Uncontrolled Keywords: association rules; the maximum entropy; review classification
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 07 Apr 2021 07:18
Last Modified: 07 Apr 2021 07:18
URI: https://eprints.eudl.eu/id/eprint/2202

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