Research on detection methods based on Doc2vec abnormal comments

The purpose of this paper is to explore a method for detecting abnormal comments. With the growth of e-commerce sites and reviews sites, user reviews of messages begin to affect merchant's revenue and impact consumer's choice. It is meaningful to help users get real comment messages by using natural language processing means. In this paper, the doc2vec model, the clustering algorithm and emotion analysis are applied to identify abnormal comments.