Research of Methods of Recognizing User Preference of Product Attributes from Online Product Reviews
Huosong Xia · Journal of Intelligence · 2012
The user preference for product attributes provides corporations reference information to establish their strategies for product development and marketing.The frame and process of recognizing user preference of the product attributes from the online product reviews,which makes use of technologies of natural language processing and data mining and some artificiality,are discussed in this paper.Experimental results aimed at computers show that there are no significant differences between the scores for products got by the method proposed in this paper and given by the users.This demonstrates the feasibility and effectiveness of the proposed frame and process.