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Volumn , Issue , 2013, Pages 834-839

Tweet4act: Using incident-specific profiles for classifying crisis-related messages

Author keywords

Crisis informatics; Disaster management; Microblogging; Twitter data analytics

Indexed keywords

ARTIFICIAL INTELLIGENCE; DISASTER PREVENTION;

EID: 84905670750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (70)

References (11)
  • 2
    • 77956241943 scopus 로고    scopus 로고
    • Emerging topic detection on twitter based on temporal and social terms evaluation
    • pages 4:1-4:10, New York, USA. ACM
    • M. Cataldi, L. Di Caro, and C. Schifanella (2010) Emerging topic detection on twitter based on temporal and social terms evaluation. In Proceedings of the MDMKDD '10, pages 4:1-4:10, New York, USA. ACM.
    • (2010) Proceedings of the MDMKDD '10
    • Cataldi, M.1    Di Caro, L.2    Schifanella, C.3
  • 3
    • 7544223741 scopus 로고    scopus 로고
    • A survey of outlier detection methodologies
    • Oct
    • V. Hodge and J. Austin (2004) A survey of outlier detection methodologies. Artif. Intell. Rev., 85-126, Oct.
    • (2004) Artif. Intell. Rev. , pp. 85-126
    • Hodge, V.1    Austin, J.2
  • 4
    • 78650183806 scopus 로고    scopus 로고
    • Twitter adoption and use in mass convergence and emergency events
    • Hughes and L. Palen (2009) Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management, 6(3): Pages 248-260.
    • (2009) International Journal of Emergency Management , vol.6 , Issue.3 , pp. 248-260
    • Hughes1    Palen, L.2
  • 6
    • 77954707603 scopus 로고    scopus 로고
    • Twittermonitor: Trend detection over the twitter stream
    • New York, USA. ACM
    • M. Mathioudakis and N. Koudas (2010) Twittermonitor: Trend detection over the twitter stream. In Proceedings of the SIGMOD '10, pages 1155-1158, New York, USA. ACM.
    • (2010) Proceedings of the SIGMOD '10 , pp. 1155-1158
    • Mathioudakis, M.1    Koudas, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.