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Volumn , Issue , 2007, Pages 135-140

Sentiment classification through combining classifiers with multiple feature sets

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE ENGINEERING; LEARNING SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 47749112814     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NLPKE.2007.4368024     Document Type: Conference Paper
Times cited : (31)

References (20)
  • 1
    • 33646859933 scopus 로고    scopus 로고
    • Sentiment classification of movie reviews using contextual valence shifters
    • A. Kennedy, and D. Inkpen. 2006. Sentiment classification of movie reviews using contextual valence shifters. Computational Intelligence, 22(2), pages 110-125.
    • (2006) Computational Intelligence , vol.22 , Issue.2 , pp. 110-125
    • Kennedy, A.1    Inkpen, D.2
  • 3
    • 85141280473 scopus 로고    scopus 로고
    • A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts
    • Barcelona, ES: Association for Computational Linguistics
    • B. Pang, and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of ACL-04, 42nd Meeting of the Association for Computational Linguistics, Barcelona, ES: Association for Computational Linguistics, pages 271-278.
    • (2004) Proceedings of ACL-04, 42nd Meeting of the Association for Computational Linguistics , pp. 271-278
    • Pang, B.1    Lee, L.2
  • 5
    • 10444224737 scopus 로고    scopus 로고
    • Classifier selection for majority voting
    • D. Ruta, and B. Gabrys. 2005. Classifier selection for majority voting. Information Fusion, vol. 6: 63-81.
    • (2005) Information Fusion , vol.6 , pp. 63-81
    • Ruta, D.1    Gabrys, B.2
  • 7
    • 21244501361 scopus 로고    scopus 로고
    • A theoretical and experimental analysis of linear combiners for multiple classifier systems
    • G. Fumera, and F. Roli. 2005. A theoretical and experimental analysis of linear combiners for multiple classifier systems", IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 27: 942-956.
    • (2005) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.27 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 12
    • 35248893424 scopus 로고    scopus 로고
    • Comparison of classifier selection methods for improving committee performance
    • Proceeding of the 4th International Workshop, Multiple Classifier Systems MCS
    • M. Aksela. 2003. Comparison of classifier selection methods for improving committee performance. In: Proceeding of the 4th International Workshop, Multiple Classifier Systems (MCS), Lecture Notes in Computer Science, vol. 2709, pages 84-93.
    • (2003) Lecture Notes in Computer Science , vol.2709 , pp. 84-93
    • Aksela, M.1
  • 19
    • 0030392357 scopus 로고    scopus 로고
    • Z. Switzerland. 1996. Combining classifiers in text categorization. In: Proceedings of the 19th annual international ACM SIGIR conference on research and development in information retrieval, pages 289-297.
    • Z. Switzerland. 1996. Combining classifiers in text categorization. In: Proceedings of the 19th annual international ACM SIGIR conference on research and development in information retrieval, pages 289-297.
  • 20
    • 0036567392 scopus 로고    scopus 로고
    • Ensembling neural networks: Many could be better than all
    • Z. H. Zhou, J. Wu, and W. Tang. 2002. Ensembling neural networks: Many could be better than all. Artificial Intelligence, vol.137(1-2): 239-263.
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.H.1    Wu, J.2    Tang, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.