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Volumn , Issue , 2011, Pages 2469-2472

Imbalanced sentiment classification

Author keywords

imbalanced classification; opinion mining; sentiment classification

Indexed keywords

DATA SETS; FEATURE DISTRIBUTION; IMBALANCED CLASS; IMBALANCED CLASSIFICATION; OPINION MINING; SENTIMENT CLASSIFICATION; UNDER-SAMPLING;

EID: 83055165890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063994     Document Type: Conference Paper
Times cited : (42)

References (13)
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  • 6
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    • Dependency tree-based sentiment classification using CRFs with hidden
    • Nakagawa T., K. Inui, and S. Kurohashi. 2010. Dependency tree-based sentiment classification using CRFs with hidden. In Proceedings of NAACL-10. 786-794.
    • (2010) Proceedings of NAACL-10 , pp. 786-794
    • Nakagawa, T.1    Inui, K.2    Kurohashi, S.3
  • 7
    • 0000399707 scopus 로고
    • On the two different aspects of the representative method: The method of stratified sampling and the method of purposive selection
    • 1934
    • Neyman J. 1934. On the two different aspects of the representative method: The method of stratified sampling and the method of purposive selection. Journal of the Royal Statistical Society. 97,4(1934), 558-625.
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    • Neyman, J.1
  • 9
    • 80053270671 scopus 로고    scopus 로고
    • Semisupervised learning for semantic relation classification using stratified sampling strategy
    • Qian L., G. Zhou, F. Kong, and Q. Zhu. 2009. Semisupervised learning for semantic relation classification using stratified sampling strategy. In Proceedings of EMNLP-09. 1437-1445.
    • (2009) Proceedings of EMNLP-09 , pp. 1437-1445
    • Qian, L.1    Zhou, G.2    Kong, F.3    Zhu, Q.4
  • 10
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    • Clustering-based stratified seed sampling for semi-supervised selation slassification
    • Qian L. and G. Zhou. 2010. Clustering-based stratified seed sampling for semi-supervised selation slassification. In Proceedings of EMNLP-10. 346-355.
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    • Qian, L.1    Zhou, G.2
  • 12
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews
    • Turney P. 2002. Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews. In Proceedings of ACL-02. 417-424.
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  • 13
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    • Training cost-sensitive neural networks with methods addressing the class imbalance problem
    • DOI 10.1109/TKDE.2006.17
    • Zhou Z. and X. Liu. 2006. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Transaction on Knowledge and Data Engineering. 18(2006), 63-77. (Pubitemid 43145089)
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    • Zhou, Z.-H.1    Liu, X.-Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.