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Volumn , Issue , 2012, Pages 513-521

Medical case-driven classification of microblogs: Characteristics and annotation

Author keywords

Disease surveillance; Social media data analysis; Text classification

Indexed keywords

AUTOMATIC CLASSIFICATION; AUTOMATIC CLASSIFICATION SYSTEMS; DATA SETS; DISEASE SURVEILLANCE; FEATURE SETS; FILTERING METHOD; GOLD STANDARDS; INTELLIGENCE GATHERING; MICRO-BLOG; SOCIAL MEDIA; TEXT CLASSIFICATION;

EID: 84863246262     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2110363.2110421     Document Type: Conference Paper
Times cited : (8)

References (14)
  • 4
    • 84880769839 scopus 로고    scopus 로고
    • Early warning and outbreak detection using social networking websites: The potential of twitter
    • Springer, Berlin Heidelberg
    • E. de Quincey and P. Kostkova. Early warning and outbreak detection using social networking websites: The potential of twitter. In Electronic Healthcare., pages 21-24. Springer, Berlin Heidelberg, 2010.
    • (2010) Electronic Healthcare , pp. 21-24
    • De Quincey, E.1    Kostkova, P.2
  • 13
    • 18544372466 scopus 로고    scopus 로고
    • Understanding interobserver agreement: The kappa statistic
    • A. Viera and J. Garret. Understanding interobserver agreement: the kappa statistic. Family medicine, 37 (5):360-63, 2005. (Pubitemid 40656185)
    • (2005) Family Medicine , vol.37 , Issue.5 , pp. 360-363
    • Viera, A.J.1    Garrett, J.M.2
  • 14
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Y. Yang. An evaluation of statistical approaches to text categorization. Information Retrieval J, 1:69-90, 1999.
    • (1999) Information Retrieval J , vol.1 , pp. 69-90
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.