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Volumn II, Issue , 2003, Pages 796-799

Improving Text Categorization by Resolving Semantic Ambiguity

Author keywords

Naive Bayesian; Text Categorization; Text Mining

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; SEMANTICS;

EID: 0242303050     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (10)
  • 1
    • 84976776599 scopus 로고
    • A Probabilistic Learning Approach for Document Indexing
    • Fuhr, N. and Buckley, C.: "A Probabilistic Learning Approach for Document Indexing", ACM TOIS 9-3, pp.223-248, 1991
    • (1991) ACM TOIS , vol.9 , Issue.3 , pp. 223-248
    • Fuhr, N.1    Buckley, C.2
  • 5
    • 0032274556 scopus 로고    scopus 로고
    • Classification of Text Documents
    • Li, Y.H. and Jain, K.: "Classification of Text Documents", The Computer Journal 41-8, 1998
    • (1998) The Computer Journal , vol.41-48
    • Li, Y.H.1    Jain, K.2
  • 6
    • 34248833974 scopus 로고
    • Introduction to WordNet - An On-Line Lexical Database
    • revised 1993, Princeton University
    • Miller, G.A., Beckwith, R. et al.: "Introduction to WordNet - An On-Line Lexical Database", Journal of Lexicography 3(4), pp.235-244, 1990 (revised 1993, Princeton University)
    • (1990) Journal of Lexicography , vol.3 , Issue.4 , pp. 235-244
    • Miller, G.A.1    Beckwith, R.2
  • 7
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorization
    • Sebastiani, F.: "Machine Learning in Automated Text Categorization", ACM Comp.Surveys 34-1, pp.1-47, 2002
    • (2002) ACM Comp. Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.