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Volumn 2, Issue , 2013, Pages 474-478

Text classification from positive and unlabeled data using misclassified data correction

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; TEXT PROCESSING;

EID: 84906922215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (16)
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    • 84907378944 scopus 로고    scopus 로고
    • Fast and reliable anomaly detection in categorical data
    • L. Akoglu, H. Tong, J. Vreeken, and C. Faloutsos. 2013. Fast and Reliable Anomaly Detection in Categorical Data. In Proc. of the CIKM, pages 415-424.
    • (2013) Proc. of the CIKM , pp. 415-424
    • Akoglu, L.1    Tong, H.2    Vreeken, J.3    Faloutsos, C.4
  • 5
    • 64749095041 scopus 로고    scopus 로고
    • Using the web as corpus for self-training text categorization
    • R. G. Cabrera, M. M. Gomez, P. Rosso, and L. V. Pineda. 2009. Using the Web as Corpus for Self-Training Text Categorization. Information Retrieval, 12(3):400-415.
    • (2009) Information Retrieval , vol.12 , Issue.3 , pp. 400-415
    • Cabrera, R.G.1    Gomez, M.M.2    Rosso, P.3    Pineda, L.V.4
  • 6
    • 55649087444 scopus 로고    scopus 로고
    • Detecting errors in discontinuous structural annotation
    • M. Dickinson and W. D. Meurers. 2005. Detecting Errors in Discontinuous Structural Annotation. In Proc. of the ACL'05, pages 322-329.
    • (2005) Proc. of the ACL'05 , pp. 322-329
    • Dickinson, M.1    Meurers, W.D.2
  • 7
    • 58149180961 scopus 로고    scopus 로고
    • Learning classifiers from only positive and unlabeled data
    • C. Elkan and K. Noto. 2008. Learning Classifiers from Only Positive and Unlabeled Data. In Proc. of the KDD'08, pages 213-220.
    • (2008) Proc. of the KDD'08 , pp. 213-220
    • Elkan, C.1    Noto, K.2
  • 11
    • 78149306870 scopus 로고    scopus 로고
    • Building text classifiers using positive and unlabeled examples
    • B. Liu, Y. Dai, X. Li, W. S. Lee, and P. S. Yu. 2003. Building Text Classifiers using Positive and Unlabeled Examples. In Proc. of the ICDM'03, pages 179-188.
    • (2003) Proc. of the ICDM'03 , pp. 179-188
    • Liu, B.1    Dai, Y.2    Li, X.3    Lee, W.S.4    Yu, P.S.5
  • 13
    • 33845921761 scopus 로고    scopus 로고
    • Reuters 1996-08-20 to 1997-08-19 Release Date 2000-11-03 Format Version 1
    • Reuters. 2000. Reuters Corpus Volume1 English Language. 1996-08-20 to 1997-08-19 Release Date 2000-11-03 Format Version 1.
    • (2000) Reuters Corpus Volume1 English Language
  • 14
    • 0442319140 scopus 로고    scopus 로고
    • Toward optimal active learning through sampling estimation of error reduction
    • N. Roy and A. K. McCallum. 2001. Toward Optimal Active Learning through Sampling Estimation of Error Reduction. In Proc. of the 18th ICML, pages 441-448.
    • (2001) Proc. of the 18th ICML , pp. 441-448
    • Roy, N.1    McCallum, A.K.2
  • 15
    • 0042096783 scopus 로고
    • Improvements in part-of-speech tagging with an application to german
    • H. Schmid. 1995. Improvements in Part-of-Speech Tagging with an Application to German. In Proc. of the EACL SIGDAT Workshop, pages 47-50.
    • (1995) Proc. of the EACL SIGDAT Workshop , pp. 47-50
    • Schmid, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.