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Volumn , Issue , 2013, Pages 791-801

Extracting information nuggets from disaster- Related messages in social media

Author keywords

Information extraction; Social media; Supervised classification; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA VISUALIZATION; DISASTERS; INFORMATION RETRIEVAL; INFORMATION SYSTEMS; LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE);

EID: 84905650414     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (374)

References (16)
  • 2
    • 84904977191 scopus 로고    scopus 로고
    • Social media: Major tool in disaster response
    • Balana, C.D. (2012) Social media: Major tool in disaster response. Inquirer Technology, 5 pp.
    • (2012) Inquirer Technology , pp. 5
    • Balana, C.D.1
  • 5
    • 78650183806 scopus 로고    scopus 로고
    • Twitter adoption and use in mass convergence and emergency events
    • Hughesm A.L. and L. Palen. (2009) Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management, 6, 3, 248-260.
    • (2009) International Journal of Emergency, Management , vol.6 , Issue.3 , pp. 248-260
    • Hughesm, A.L.1    Palen, L.2
  • 10
    • 84976702763 scopus 로고
    • Wordnet: A lexical database for english
    • Miller G. (1995) Wordnet: A lexical database for English. Communication of the ACM, 38, 11, 39-41.
    • (1995) Communication of the ACM , vol.38 , Issue.11 , pp. 39-41
    • Miller, G.1
  • 11
    • 84902363613 scopus 로고    scopus 로고
    • Pew Research., Pew Research Center for Excellence in Journalism, New York
    • Pew Research. (2012) Hurricane Sandy and Twitter. Pew Research Center for Excellence in Journalism, New York.
    • (2012) Hurricane Sandy and Twitter


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.