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Volumn , Issue , 2011, Pages 132-139

Sentiments and opinions in health-relatedweb messages

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; HEALTH; LEARNING SYSTEMS;

EID: 84861749044     PISSN: 13138502     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (28)
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    • Cicchetti, D.1    Feinstein, A.2
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    • Crystal: Analyzing predictive opinions on the web
    • Kim, S.-M., E. Hovy. Crystal: Analyzing predictive opinions on the web. Proceedings of the 2007 EMNLP-CoNLL, pages 1056-1064, 2007.
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    • Kim, S.-M.1    Hovy, E.2
  • 15
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    • Biomedical informatics techniques for processing and analyzing web blogs of military service members
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    • Konovalov, S.1    Scotch, M.2    Post, L.3    Brandt, C.4
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    • Lasersohn, P. Context Dependence, disagreement, and predicates of personal taste Linguistics and Philosophy, 28, pages 643-686, 2005
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    • Lasersohn, P.1
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    • 34748833991 scopus 로고    scopus 로고
    • Using outcome polarity in sentence extraction for medical question-answering
    • Niu, Y., X. D. Zhu, G. Hirst. Using outcome polarity in sentence extraction for medical question-answering. In Proceedings of the AMIA Annual Symposium, 2006, 599-603.
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    • Niu, Y.1    Zhu, X.D.2    Hirst, G.3
  • 20
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    • Thumbs up? Sentiment classification using machine learning techniques
    • Pang, B., L. Lee, S. Vaithyanathan, Thumbs up? Sentiment Classification using Machine Learning Techniques Proceedings of EMNLP'-02, pages 79-86, 2002.
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    • Yu, H., V. Hatzivassiloglou Towards Answering Opinion Questions: Separating Facts from Opinions and Identifying the Polarity of Opinion Sentences. In Proceedings of EMNLP-03, 2003.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.