Research on clothing product reviews mining based on the maximum entropy

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%.

• Publication year

  2015

• Venue

  2015 11th International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QSHINE)

• Publication date

  2015-08-03

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.4108/eai.19-8-2015.2260919
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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