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Abstract: This paper explores the use of a statistical technique known as density estimation to potentially improve the results of text categorization systems which label documents by computing similarities between documents and categories. In addition to potentially improving a system's overall accuracy, density estimation converts similarity scores to probabilities. These probabilities provide con dence measures for a system's predictions which are easily interpretable and could potentially help to... (Update)
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BibTeX entry: (Update)
@misc{ text-using,
author = "To Improve Text",
title = "Using Density Estimation",
url = "citeseer.ist.psu.edu/733071.html" }
Citations (may not include all citations):512 Density Estimation for Statistics and Data Analysis (context) - Silverman - 1986
463 Term weighting approaches in automatic text retrieval (context) - Salton, Buckley - 1988
432 Automatic Text Processing: The Transformation (context) - Salton - 1989
416 Information Retrieval - van Rijsbergen - 1979
376 Text categorization with support vector machines: Learning w.. - Joachims - 1998
263 A stochastic parts program and noun phrase parser for unrest.. (context) - Church - 1988
166 A re-examination of text categorization methods - Yang, Liu - 1999
149 An evaluation of statistical approaches to text categorizati.. - Yang - 1999
130 A probabilistic analysis of the Rocchio algorithm with TFIDF.. - Joachims - 1997
103 at forty: The independence assumption in information retriev.. (context) - Lewis, Bayes - 1998
76 Boostexter: A boosting-based system for text categorization - Schapire, Singer - 2000
72 Bow: A toolkit for statistical language modeling (context) - McCallum - 1996
62 Reuters-21578 text categorization test collection (context) - Lewis - 1997
21 Training algorithms for linear text classi ers - Lewis, Schapire et al. - 1996
20 Integration of visual and text-based approaches for the cont.. - Paek, Sable et al. - 1999
7 Assessing the calibration of Naive Bayes' posterior estimate.. - Bennett - 2000
7 Using maximum entropy for text classi cation (context) - Nigam, La et al. - 1999
5 Text-based approaches for non-topical image categorization (context) - Sable, Hatzivassiloglou - 2000
3 Indoor-outdoor image classi cation (context) - Szummer, Picard - 1998
1 Using asymmetric distributions to improve classi er probabil.. (context) - Bennett - 2002
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