Methodology on Demand Extraction Method for Clothing Users Facing Online Chinese Comments

Abstract

This paper applies a cutting - edge method to extract clothing user needs so as to transform the user's subjective needs into specific design requirements through obtained demand features. In view of the characteristics of massive, fuzzy and disorderly comments from online clothing customers, this method, taking the middle - aged women coat as an example, tries to use the relevant methods of natural language processing like the concept analysis, taxonomic relation and non-taxonomic relation to come up with the user demand characteristics of middle - aged women's coat, and realize the information extraction of clothing users for online comments. The effectiveness of the experimental results has been verified. This paper has also provided reference list to improve the clothing user demand extraction method.