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Abstract: Recent work in text classification has used two different first-order probabilistic models for classification, both of which make the naive Bayes assumption. Some use a multi-variate Bernoulli model, that is, a Bayesian Network with no dependencies between words and binary word features (e.g. Larkey and Croft 1996; Koller and Sahami 1997). Others use a multinomial model, that is, a uni-gram language model with integer word counts (e.g. Lewis and Gale 1994; Mitchell 1997). This paper aims to... (Update)
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BibTeX entry: (Update)
A. McCallum and K. Nigam. A comparison of event models for Naive Bayes text classification. In AAAI-98 Workshop on Learning for Text Categorization, 1998. http://citeseer.ist.psu.edu/article/mccallum98comparison.html More
@misc{ mccallum98comparison,
author = "A. McCallum and K. Nigam",
title = "A comparison of event models for Naive Bayes text classification",
text = "A. McCallum and K. Nigam. A comparison of event models for Naive Bayes
text classification. In AAAI-98 Workshop on Learning for Text Categorization,
1998.",
year = "1998",
url = "citeseer.ist.psu.edu/article/mccallum98comparison.html" }
Citations (may not include all citations):2319 Elements of Information Theory (context) - Cover, Thomas - 1991
976 Machine Learning (context) - Mitchell - 1997
376 Text categorization with Support Vector Machines: Learning w.. - Joachims - 1998
201 Relevance weighting of search terms (context) - Robertson, Sparck-Jones - 1976
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80 Learning to classify text from labeled and unlabeled documen.. - Nigam, McCallum et al. - 1998
76 A bayesian approach to filtering junk e-mail - Sahami, Dumais et al. - 1998
73 An evaluation of phrasal and clustered representations on a .. (context) - Lewis - 1992
59 Data Mining and Knowledge Discovery (context) - Friedman, variance et al. - 1997
43 Combining classifiers in text categorization - Larkey, Croft - 1996
41 Feature selection in statistical learning of text categoriza.. (context) - Yang, Pederson - 1997
38 Active learning with committees for text categorization (context) - Liere, Tadepalli - 1997
28 Learning limited dependence Bayesian classifiers - Sahami - 1996
18 Improving text clasification by shrinkage in a hierarchy of .. (context) - McCallum, Rosenfeld et al. - 1998
14 Document classification using a finite mixture model - Li, Yamanishi - 1997
12 Estimations of dependences based on statistical data (context) - Vapnik - 1982
5 Document classification by machine: Theory and practice - Guthrie, Walker - 1994
1 at forty: The independence asssumption in information retrie.. (context) - Lewis, Bayes - 1998
The graph only includes citing articles where the year of publication is known.
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