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- Title
基于在线评论的服装质量特征挖掘方法.
- Authors
周俊妍; 薛文良; 魏孟媛; 刘蕴莹; 钱竞芳; 丁 亦
- Abstract
To enable consumers, garment enterprises, inspection agencies and others to accurately understand garment quality issues, the fine-grained garment quality feature extraction problem is studied from the perspective of online review mining, and a fine-grained garment domain quality feature mining method is proposed. The method combined a priori knowledge and frequent pattern growth algorithm to construct a garment quality feature lexicon and a garment quality feature tree. And the garment quality features were extracted by composite extraction mode, including lexicon matching, conditional random field model, etc. Then the collection of features was classified based on the garment quality feature tree. The results show that the comprehensive evaluation index of the method reaches 77. 74%, and the feature classification results have good applicability to the garment field, which shows that the method can effectively extract the garment quality features from the perspective of quality detection.
- Publication
Journal of Donghua University (Natural Science Edition), 2021, Vol 47, Issue 5, p68
- ISSN
1671-0444
- Publication type
Article
- DOI
10.19886/j.cnki.dhdz.2020.0123