基于情感分析的商品推荐系统的设计与实现

The Study and Design of the Commodity Recommendation System Based on Sentiment Analysis

提出了一种基于情感分析的商品推荐系统,该系统能够分析购买者对商品的评价,从而获取用户对商品某些属性的态度。只要用户提供所需商品的品牌型号信息以及感兴趣的属性,系统就可以推荐出最受关注和好评的所需商品。

sentiment analysis is used widely in text processing, because it can reflect the attitude of the people. In this paper, a product recommendation system based on sentiment analysis is proposed. The system is able to analyze the evaluation of the purchase of goods, access to the user on the attitude of some of the proper- ties of the goods. So long as the user provide the brands and models of the goods which are needed and interest- ed, the system can be recommended to the user＇s most attention and praise users goods.