关键词: 自然语言处理, 微博, 用户分类, 认证

Abstract: The micro-blog users can be categorized into two types: human and nonhuman users. Automatic classification of the two user types is a basic task for many real applications, such as intelligent advertising and personality analysis. This paper proposes an automatic classification method based on machine learning to tackle this task. One distinguishing feature of the proposed method is that the corpus of authenticated users is used as natural labeled data to train a classifier, instead of manual labeling the data. Specifically, the username and message text published by user are employed to represent one user. Then, the maximum entropy algorithm is utilized to perform the classification. The experimental research on Sina Weibo demonstrates that the proposed method is very effective for user-type classification.

Key words: natural language processing, micro-blog, user-type classification, authentication