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Volumn , Issue , 2010, Pages 1657-1660

Hierarchical auto-tagging: Organizing Q&A knowledge for everyone

Author keywords

Auto tagging; Community question answering; Keyword extraction; Oshiete! goo; Text classification

Indexed keywords

AUTO-TAGGING; COMMUNITY QUESTION ANSWERING; KEYWORD EXTRACTION; OSHIETE! GOO; TEXT CLASSIFICATION;

EID: 78651298495     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871697     Document Type: Conference Paper
Times cited : (6)

References (11)
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  • 2
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  • 3
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  • 4
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    • Fuchi, T.1    Takagi, S.2
  • 5
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    • Fujimura, S.1    Fujimura, K.2    Okuda, H.3
  • 6
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  • 7
    • 0002551285 scopus 로고    scopus 로고
    • Feature selection for unbalanced class distribution and naive bayes
    • D. Mladenic and M. Grobelnik. Feature selection for unbalanced class distribution and naive bayes. In ICML, pages 258-267, 1999.
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    • Mladenic, D.1    Grobelnik, M.2
  • 8
    • 0030651099 scopus 로고    scopus 로고
    • Feature selection, perceptron learning, and a usability case study for text categorization
    • H.T. Ng, W.B. Goh, and K.L. Low. Feature selection, perceptron learning, and a usability case study for text categorization. In SIGIR, pages 67-73, 1997.
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  • 9
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    • Tag-LDA for scalable real-time tag recommendation
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  • 10
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    • A comparative study on feature selection in text categorization
    • Y. Yang and J. O. Pedersen. A comparative study on feature selection in text categorization. In ICML, pages 412-420, 1997.
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  • 11
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    • Feature selection for text categorization on imbalanced data
    • A. Zheng, X. Wu, and R. Srihari. Feature selection for text categorization on imbalanced data. SIGKDD Explor. Newsl., 6(1):80-89, 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.