作者: Xinxiong Chen , Maosong Sun , Zhiyuan Liu
DOI: 10.1007/S11704-011-1174-8
关键词:
摘要: Microblogging provides a new platform for communicating and sharing information among Web users. Users can express opinions record daily life using microblogs. Microblogs that are posted by users indicate their interests to some extent. We aim mine user via keyword extraction from Traditional methods usually designed formal documents such as news articles or scientific papers. Messages microblogging users, however, noisy full of words, which is challenge extraction. In this paper, we combine translation-based method with frequency-based our experiments, extract keywords microblog the largest website in China, Sina Weibo. The results show identify users' accurately efficiently.