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Volumn 91 LNICST, Issue , 2012, Pages 186-195

Syndromic classification of twitter messages

Author keywords

epidemic intelligence; machine learning; natural language processing; social networking

Indexed keywords

CROSS-VALIDATION TESTS; DETECTION ALGORITHM; EPIDEMIC INTELLIGENCE; NAIVE BAYES; NATURAL LANGUAGE PROCESSING; POLYNOMIAL KERNELS; REAL TIME; STRONG CORRELATION; TEXT MINING;

EID: 84869594064     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-29262-0_27     Document Type: Conference Paper
Times cited : (28)

References (13)
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  • 3
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    • Earthquake twitter
    • doi:10.1038/ngeo832
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    • Earle, P.1
  • 7
    • 77958047753 scopus 로고    scopus 로고
    • Flu Detector - Tracking Epidemics on Twitter
    • Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. Springer, Heidelberg
    • Lampos, V., De Bie, T., Cristianini, N.: Flu Detector - Tracking Epidemics on Twitter. In: Balcázar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. LNCS, vol. 6323, pp. 599-602. Springer, Heidelberg (2010)
    • (2010) LNCS , vol.6323 , pp. 599-602
    • Lampos, V.1    De Bie, T.2    Cristianini, N.3
  • 8
    • 79955757514 scopus 로고    scopus 로고
    • The use of twitter to track levels of disease activity and public concern in the U.S. during the influenza a h1n1 pandemic
    • Signorini, A., Segre, A.M., Polgreen, P.M.: The use of twitter to track levels of disease activity and public concern in the U.S. during the influenza a h1n1 pandemic. PLoS One 6(5), e19467 (2011)
    • (2011) PLoS One , vol.6 , Issue.5
    • Signorini, A.1    Segre, A.M.2    Polgreen, P.M.3
  • 11
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    • Text categorization with support vector machines: Learning with many relevant features
    • Nédellec, C., Rouveirol, C. (eds.) ECML 1998. Springer, Heidelberg
    • Joachims, T.: Text categorization with support vector machines: Learning with many relevant features. In: Nédellec, C., Rouveirol, C. (eds.) ECML 1998. LNCS, vol. 1398, pp. 137-142. Springer, Heidelberg (1998)
    • (1998) LNCS , vol.1398 , pp. 137-142
    • Joachims, T.1
  • 13
    • 0141722717 scopus 로고    scopus 로고
    • The bioterrorism preparedness and response early aberration reporting system (EARS)
    • Hutwagner, L., Thompson, W., Seeman, M.G., Treadwell, T.: The bioterrorism preparedness and response early aberration reporting system (EARS). J. Urban Health 80(2), i89-i96 (2003)
    • (2003) J. Urban Health , vol.80 , Issue.2
    • Hutwagner, L.1    Thompson, W.2    Seeman, M.G.3    Treadwell, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.