Topic model-based micro-blog user interest analysis

摘要

As a popular Internet information exchange platform, Micro-Blog like Twitter attracts a large amount of users to share information through short and noisy messages. In this paper, we aim to discover Micro-Blog users' interest using topic model. In the topic model, users' metadata such as labels are taken as new features and been put into user document which will be used to infer user's interest. Experimental results indicate that this method gives satisfying user interest and is capable for reality project. This paper also introduce two applications based on user interest detected before: 1) Keywords extraction based on interest (We calculate word entropy using word topic distribution as new feature). 2) User clustering based on user interest.