메뉴 건너뛰기




Volumn , Issue , 2008, Pages 257-260

Multi-domain sentiment classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 78349239201     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1557690.1557765     Document Type: Conference Paper
Times cited : (113)

References (4)
  • 1
    • 84860524227 scopus 로고    scopus 로고
    • Biographies, Bollywood, Boom-boxes and Blenders: Domain adaptation for sentiment classification
    • J. Blitzer, M. Dredze, and F. Pereira. 2007. Biographies, Bollywood, Boom-boxes and Blenders: Domain adaptation for sentiment classification. In Proceedings of ACL.
    • (2007) Proceedings of ACL
    • Blitzer, J.1    Dredze, M.2    Pereira, F.3
  • 2
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • G. Forman. 2003. An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research, 3: 1533-7928.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1533-7928
    • Forman, G.1
  • 3
    • 85141803251 scopus 로고    scopus 로고
    • Thumbs up? Sentiment classification using machine learning techniques
    • B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP.
    • (2002) Proceedings of EMNLP
    • Pang, B.1    Lee, L.2    Vaithyanathan, S.3
  • 4
    • 0036791948 scopus 로고    scopus 로고
    • A perspective view and survey of meta-learning
    • R. Vilalta and Y. Drissi. 2002. A perspective view and survey of meta-learning. Artificial Intelligence Review, 18(2): 77-95.
    • (2002) Artificial Intelligence Review , vol.18 , Issue.2 , pp. 77-95
    • Vilalta, R.1    Drissi, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.