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Volumn 7934 LNCS, Issue , 2013, Pages 278-284

Text classification of technical papers based on text segmentation

Author keywords

Multi label Classification; Supervised Learning; Text Classification; Text Segmentation

Indexed keywords

F-MEASURE; MULTI-LABEL CLASSIFICATIONS; RESEARCH TOPICS; TEXT CLASSIFICATION; TEXT REPRESENTATION; TEXT SEGMENTATION;

EID: 84884920418     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38824-8_25     Document Type: Conference Paper
Times cited : (22)

References (11)
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  • 3
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    • Combining contents and citations for scientific document classification
    • Cao, M.D., Gao, X.: Combining contents and citations for scientific document classification. In: Australian Conference on Artificial Intelligence, pp. 143-152 (2005)
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    • Cao, M.D.1    Gao, X.2
  • 4
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    • Modelling citation networks for improving scientific paper classification performance
    • Yang, Q., Webb, G. (eds.) Springer, Heidelberg
    • Zhang, M., Gao, X., Cao, M.D., Ma, Y.: Modelling citation networks for improving scientific paper classification performance. In: Yang, Q., Webb, G. (eds.) PRICAI 2006. LNCS (LNAI), vol. 4099, pp. 413-422. Springer, Heidelberg (2006)
    • (2006) PRICAI 2006. LNCS (LNAI) , vol.4099 , pp. 413-422
    • Zhang, M.1    Gao, X.2    Cao, M.D.3    Ma, Y.4
  • 8
    • 33947681316 scopus 로고    scopus 로고
    • Ml-knn: A lazy learning approach to multi-label learning
    • Zhang, M.L., Zhou, Z.H.: Ml-knn: A lazy learning approach to multi-label learning. Pattern Recognition 40(7), 2038-2048 (2007)
    • (2007) Pattern Recognition , vol.40 , Issue.7 , pp. 2038-2048
    • Zhang, M.L.1    Zhou, Z.H.2
  • 10
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    • LIBSVM: A library for support vector machines
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    • (2011) ACM Transactions on Intelligent Systems and Technology , vol.2 , pp. 271-2727
    • Chang, C.C.1    Lin, C.J.2
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    • Morgan, W.: Statistical hypothesis tests for NLP
    • Morgan, W.: Statistical hypothesis tests for NLP, http://cs.stanford.edu/ people/wmorgan/sigtest.pdf


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.