Extracting Product Quality Information Expressed by Customers from Web Forum and its Applications

Abstract:

Topic forum always contains abundant product information such as requirement, quality, and evaluation. It is very significant to use these information in product development and management. Aiming at the product quality issues during its use, a method of extracting product quality information expressed by customers from web forum was presented. The content and its hybrid structure of product forum were analyzed. And the parse form in XML was presented as well. On the basis of these, the technology architecture of extracting product quality feature words from forum was proposed. In addition, the chronological characteristic and probabilistic characteristic among feature words were researched with the consideration of the position, time, and its number of feature word in sentence or forum respectively, and the calculation models of them were constructed as well. Then the connectivity relations among feature words were established. As a result, the key factors that affect product quality can be inferred based on it.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1911-1915
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1911
• Online since: September 2014
• Authors: Fan Fan Zhu, Xin Sheng Xu
• Keywords: Feature Filtering, Forum Topic Retrieving, Product Quality Requirements, Text Mining

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