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Abstract: This paper is a comparative study of feature selection methods in statistical learning of text categorization. The focus is on aggressive dimensionality reduction. Five methods were evaluated, including term selection based on document frequency (DF), information gain (IG), mutual information (MI), a Ø 2 -test (CHI), and term strength (TS). We found IG and CHI most effective in our experiments. Using IG thresholding with a knearest neighbor classifier on the Reuters corpus, removal of up to... (Update)
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BibTeX entry: (Update)
Yang, Y., Pedersen, J.O., A Comparative Study on Feature Selection in Text Categorization, Proc. of the 14th International Conference on Machine Learning ICML97, pp. 412---420, 1997. This article was processed using the L A T E X macro package with LLNCS style http://citeseer.ist.psu.edu/yang97comparative.html More
@inproceedings{ yang97comparative,
author = "Yiming Yang and Jan O. Pedersen",
title = "A comparative study on feature selection in text categorization",
booktitle = "Proceedings of {ICML}-97, 14th International Conference on Machine Learning",
publisher = "Morgan Kaufmann Publishers, San Francisco, US",
address = "Nashville, US",
editor = "Douglas H. Fisher",
pages = "412--420",
year = "1997",
url = "citeseer.ist.psu.edu/yang97comparative.html" }
Citations (may not include all citations):568 Indexing by latent semantic analysis - Deerwester, Dumais et al. - 1990 DBLP
137 Accurate methods for the statistics of surprise and coincide.. - Dunning - 1993 ACM DBLP
31 Transmission of Information (context) - Fano - 1961
27 Towards language independent automated learning of text cate.. - Apte, Damerau et al. - 1994 ACM
10 Trading mips and memory for knowledge engineering: classifyi.. (context) - Creecy, Masand et al. - 1992
5 mutual information and lexicography (context) - Church, Hanks et al. - 1989
4 Contextsensitive learning metods for text categorization (context) - Cohen, Singer - 1996
3 a rule-based multistage (context) - Fuhr, Hartmanna et al.
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