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Abstract: Current trend in operational text categorization is the designing of fast classification tools. Several studies on improving accuracy of fast but less accurate classifiers have been recently carried out. In particular, enhanced versions of the Rocchio text classifier, characterized by high performance, have been proposed. However, even in these extended formulations the problem of tuning its parameters is still neglected. (Update)
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BibTeX entry: (Update)
Alessandro Moschitti. A study on optimal parameter tuning for rocchio text classi er. In proceedings of the 25th European Conference on Information Retrieval Research (ECIR), Pisa, Italy, 2003. http://citeseer.ist.psu.edu/moschitti03study.html More
@misc{ moschitti03study,
author = "A. Moschitti",
title = "A study on optimal parameter tuning for rocchio text classi er",
text = "Alessandro Moschitti. A study on optimal parameter tuning for rocchio text
classi er. In proceedings of the 25th European Conference on Information
Retrieval Research (ECIR), Pisa, Italy, 2003.",
year = "2003",
url = "citeseer.ist.psu.edu/moschitti03study.html" }
Citations (may not include all citations):463 Term-weighting approaches in automatic text retrieval (context) - Salton, Buckley - 1988
376 Text categorization with support vector machines: Learning w.. - Joachims - 1998
342 Wrappers for feature subset selection - Kohavi, John - 1997
215 A comparative study on feature selection in text categorizat.. - Yang, Pedersen - 1997
149 An evaluation of statistical approaches to text categorizati.. - Yang - 1999
139 Machine learning in automated text categorization - Sebastiani - 2002
130 A probabilistic analysis of the rocchio algorithm with tfidf.. - Joachims - 1997
110 Context-sensitive learning methods for text categorization - Cohen, Singer - 1999
72 Optimization of relevance feedback weights (context) - Buckley, Salton - 1995
54 Boosting and Rocchio applied to text filtering - Schapire, Singer et al. - 1998
28 Using a generalized instance set for automatic text categori.. (context) - Lam, Ho - 1998
27 Text categorization of low quality images (context) - Ittner, Lewis et al. - 1995
25 Learning routing queries in a query zone - Singhal, Mitra et al. - 1997
23 Automatic indexing based on bayesian inference networks - Tzeras, Artman - 1993
8 A fast algorithm for hierarchical text classification - Chuang, Tiyyagura et al. - 2000
5 Technical Report TR (context) - length - 1995
4 A probabilistic description-oriented approach for categorisi.. - Govert, Lalmas et al.
3 Automatic text categorization and its applications to text r.. (context) - Drucker, Vapnik et al. - 1999
2 ATT at TREC-6: SDR track - Singhal, Choi et al. - 1997
2 and threshold optimization for adaptive document filtering (context) - Arampatzis, Beney et al. - 2000
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