• DocumentCode
    2180076
  • Title

    Location-based event search in social texts

  • Author

    Yan Huang ; Zhi Liu ; Phuc Nguyen

  • fYear
    2015
  • fDate
    16-19 Feb. 2015
  • Firstpage
    668
  • Lastpage
    672
  • Abstract
    A tremendous amount of information is being shared everyday on social media sites such as Facebook, Twitter, or Google+. Often times these social media texts include information that are valuable to others, such as activities (e.g., art fairs, jazz festivals, and gatherings), natural disaster occurrences (e.g., tornadoes, earthquakes), or incidents (e.g., traffic jams). However, current search on social media data is mostly keyword or hashtag based. The keyword based search method does not allow efficient search of events. In order to detect, scan, and search location based events from social media, users and social texts need to be effectively geotagged. Based on geotagged users and texts, effective and efficient algorithms need to be developed to integrate key word and spatial search to allow event query. This position paper summarize the current work, challenges, and research needs in location-event search in social texts.
  • Keywords
    query processing; social networking (online); text analysis; event query; geotagged texts; geotagged users; keyword based search method; location-based event search; social media data; social media sites; social media texts; spatial search; Context; Estimation; Event detection; Media; Social network services; Text recognition; Tornadoes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2015 International Conference on
  • Conference_Location
    Garden Grove, CA
  • Type

    conf

  • DOI
    10.1109/ICCNC.2015.7069425
  • Filename
    7069425