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Volumn 43, Issue 4, 2003, Pages 513-515+520

Improved text classification methods based on weighted adjustments

Author keywords

Bayesian classifier; Text classification; VSM; Weight adjustment

Indexed keywords

DATA MINING; FEATURE EXTRACTION; TEXT PROCESSING;

EID: 0042635647     PISSN: 10000054     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (6)
  • 1
    • 0002409860 scopus 로고    scopus 로고
    • A probabilistic analysis of the rocchio algorithm with TF-IDF for text classification
    • San Francisco, CA: Morgan Kaufmann Publishers
    • Joachims T. A probabilistic analysis of the rocchio algorithm with TF-IDF for text classification [A]. Proc of 14th Inter Conf on Machine Learning ICML97 [C]. San Francisco, CA: Morgan Kaufmann Publishers, 1997. 143-151.
    • (1997) Proc. of 14th Inter. Conf. on Machine Learning ICML97 , pp. 143-151
    • Joachims, T.1
  • 2
    • 0007595973 scopus 로고    scopus 로고
    • An evaluation of statistical approach to text classification
    • Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University
    • YANG Yiming. An Evaluation of Statistical Approach to Text Classification [R]. Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University, 1997.
    • (1997)
    • Yang, Y.1
  • 3
    • 0035401530 scopus 로고    scopus 로고
    • Research about new methods of feature extraction from text
    • Chinese source
    • LI Fan, LIU Mingyu, LU Yuchang. Research about new methods of feature extraction from text [J]. J Tsinghua Univ, 2001, 41(7): 98-101. (in Chinese)
    • (2001) J. Tsinghua Univ. , vol.41 , Issue.7 , pp. 98-101
    • Li, F.1    Liu, M.2    Yu, Y.3
  • 4
    • 0002551285 scopus 로고    scopus 로고
    • Feature selection for unbalanced class distribution and Naive Bayes
    • San Francisco, CA: Morgan Kaufmann Publishers
    • Mladenic D, Grobelnik M. Feature selection for unbalanced class distribution and Naive Bayes [A]. Proc of 16th Inter Conf on Machine Learning ICML-99 [C]. San Francisco, CA: Morgan Kaufmann Publishers, 1999. 258-267.
    • (1999) Proc. of 16th Inter. Conf. on Machine Learning ICML-99 , pp. 258-267
    • Mladenic, D.1    Grobelnik, M.2
  • 5
    • 0003726594 scopus 로고    scopus 로고
    • A comparative study on feature selection in text classification
    • YANG Yiming, Pedersen J O. A Comparative Study on Feature Selection in Text Classification [EB/OL]. http://citeseer.nj.nec.com/yang97comparative.html, 1997.
    • (1997)
    • Yang, Y.1    Pedersen, J.O.2
  • 6
    • 0004067373 scopus 로고    scopus 로고
    • Using machine learning to improve information access
    • Stanford University
    • Sahami M. Using Machine Learning to Improve Information Access [D]. Computer Science Department, Stanford University, 1999.
    • (1999) Computer Science Department
    • Sahami, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.