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Volumn , Issue , 2010, Pages 158-163

Naive bayes and unsupervised artificial neural nets for caneun tourism social media data analysis

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NET; DATA ANALYSIS; DOMAIN KNOWLEDGE; EXTRACTING FEATURES; KNOWLEDGE-BASED APPROACH; ME-XICO; NAIVE BAYES; QUERY OBJECT; RESORT DESTINATIONS; SOCIAL MEDIA; VISUAL MODEL; YUCATAN PENINSULA;

EID: 79952774449     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2010.5716370     Document Type: Conference Paper
Times cited : (16)

References (16)
  • 8
    • 33646859933 scopus 로고    scopus 로고
    • Sentiment classification of movie reviews using contextual valence shifters
    • DOI 10.1111/j.1467-8640.2006.00277.x
    • A. Kennedy and D. Inkpen, "Sentiment classification of movie reviews using contextual valence shifters," Computational Intelligence, vol. 22, pp. 110-125,2006. (Pubitemid 43787303)
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 110-125
    • Kennedy, A.1    Inkpen, D.2
  • 13
    • 85086237418 scopus 로고    scopus 로고
    • Unsupervised artificial neural nets for modeling the effects of climate change on New Zealand grape wines
    • Cairns, Australia 13-17 July 2009
    • Shanmuganathan, S., P. Sallis and A. Narayanan (2009) Unsupervised Artificial Neural Nets for Modeling the Effects of Climate Change on New Zealand Grape Wines, 18th World lMACS / MODSIM Congress, Cairns, Australia 13-17 July 2009.
    • (2009) 18th World LMACS / MODSIM Congress
    • Shanmuganathan, S.1    Sallis, P.2    Narayanan, A.3
  • 15
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Nedellec, C. & Rouveirol, C. (Eds.)
    • Joachims, T. (1998). Text categorization with support vector machines: Learning with many relevant features. In Nedellec, C. & Rouveirol, C. (Eds.), European Coni on Machine Learning (ECML).
    • (1998) European Coni on Machine Learning (ECML)
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.