使用SOM从自由文本客户评论中挖掘产品特征

2009 Fifth International Conference on Natural Computation Pub Date : 2009-08-14 DOI:10.1109/ICNC.2009.359

Chuanming Yu, Lu An, Xiaoqing Zhang

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引用次数: 3

摘要

本研究探讨了如何使用自组织图(SOM)技术从自由文本客户评论中识别产品特征。提出了一种新的SOM显示器——“属性累积矩阵”。为了验证所提出的方法的有效性，我们收集了22157家餐厅的评论，并识别了餐饮行业的产品特征。实验结果表明，该方法可以有效地识别产品特征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Using SOM to Mine Product Features from Free-Text Customer Reviews

This study examines how the Self-Organizing Map (SOM) technique can be used to identify product features from free-text customer reviews. A novel SOM display named “Attribute Accumulative Matrix” is presented. To verify the validity of the proposed approach, 22157 restaurant reviews are collected and product features of catering industry are identified. The experiment results show that this approach can effectively identify the product features.

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2009 Fifth International Conference on Natural Computation

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