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Volumn , Issue , 2011, Pages 65-70

Estimating the sentiment of social media content for security informatics applications

Author keywords

machine learning; security informatics; sentiment analysis; social media

Indexed keywords

BIPARTITE GRAPHS; LABELED DOCUMENTS; PRIOR INFORMATION; PUBLIC OPINIONS; SECURITY INFORMATICS; SEMI-SUPERVISED; SENTIMENT ANALYSIS; SOCIAL MEDIA; TARGET DOMAIN; TEXT CLASSIFICATION; UNLABELED DATA; WEB-BASED ANALYSIS;

EID: 80052877896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISI.2011.5984052     Document Type: Conference Paper
Times cited : (8)

References (19)
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    • Blitzer, J., M. Dredze, and F. Perieia, "Biographies, bollywood, boom-boxes, and blenders: Domain adaptation for sentiment classification", Proc. 45th Annual Meeting of the ACL, Prague, June 2007.
    • (2007) Proc. 45th Annual Meeting of the ACL
    • Blitzer, J.1    Dredze, M.2    Perieia, F.3
  • 15
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  • 16
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.