Information Extraction From Microblogs: A Survey

Wen Hua, Dat T. Huynh, Saeid Hosseini, Jiaheng Lu, Xiaofang Zhou

Research output: Journal article publicationJournal articleAcademic researchpeer-review


Microblogging (e.g., Twitter,, 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.
Original languageEnglish
Pages (from-to)495-522
Number of pages28
JournalInternational journal of software and informatics
Issue number4
Publication statusPublished - Aug 2012
Externally publishedYes


  • Microblogging
  • Information extraction
  • Twitter

ASJC Scopus subject areas

  • Information Systems


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