Information Extraction From Microblogs: A Survey
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Wen Hua,Dat T. Huynh,Saeid Hosseini,Jiaheng Lu,Xiaofang Zhou. Information Extraction From Microblogs: A Survey. International Journal of Software and Informatics, 2012,6(4):495~522
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Fund:This research is partially supported by 863 National High-Tech Research Plan of China under Grant No. 2012AA011001.
Abstract:Microblogging(e.g. Twitter, http://twitter.com), as a new form of online communication in which users talk about their daily lives, publish opinions or share information by short posts, has become one of the most popular social networking services today, which makes it potentially a large information base attracting increasing attention of researchers in the field of knowledge discovery and data mining. In this paper, we conduct a survey about existing research on information extraction from microblogging services and their applications, and then address some promising future works. We specifically analyze three types of information: personal, social and travel information.
keywords:microblogging  information extraction  twitter
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