Research on Information Extraction and Evaluation Methods on Product Quality Safety in E-commerce Comments
Main Article Content
Abstract
The massive volume of consumer reviews on the e-commerce platform can be used as an important reference for market surveillance and productive enterprises to detect product defect and enhance product quality and safety. Thus, product safety evaluation based on these reviews can contribute to a better understanding of industrial safety and quality dynamics, as well as critical defects in the field. In this paper, a model is developed to measure the quality and safety of targeted consumer products based on consumer reviews on e-commerce platforms from two dimensions, namely, quantitative word-of-mouth, which raises concern among consumers, and, content word-of-mouth, which reflects product fault.
Article Details
How to Cite
Zhaocai Jiang, Anny Bian, Ning Sun, Li Song. (2021). Research on Information Extraction and Evaluation Methods on Product Quality Safety in E-commerce Comments. CONVERTER, 2021(6), 11-19. Retrieved from https://converter-magazine.info/index.php/converter/article/view/365
Issue
Section
Articles