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» Feature Engineering for Text Classification
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ICML
2004
IEEE
15 years 10 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
76
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QSIC
2007
IEEE
15 years 3 months ago
Automatic Quality Assessment of SRS Text by Means of a Decision-Tree-Based Text Classifier
The success of a software project is largely dependent upon the quality of the Software Requirements Specification (SRS) document, which serves as a medium to communicate user req...
Ishrar Hussain, Olga Ormandjieva, Leila Kosseim
IJCAI
2001
14 years 11 months ago
Using Text Classifiers for Numerical Classification
Consider a supervised learning problem in which examples contain both numerical- and text-valued features. To use traditional featurevector-based learning methods, one could treat...
Sofus A. Macskassy, Haym Hirsh, Arunava Banerjee, ...
ICASSP
2009
IEEE
15 years 4 months ago
Part-of-speech histograms for genre classification of text
This work addresses the problem of classifying the genre of text, which is useful for a variety of language processing problems. We propose statistics of POS histograms as classiï...
Sergey Feldman, Marius A. Marin, Mari Ostendorf, M...
CSJM
2006
124views more  CSJM 2006»
14 years 9 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev