Doc Classifier - tool for automatic document classification

Inserted byDoc. Ing. Pavel Král, Ph.D.
Date last modified29.12.2013
Rok zařazení2012
Size10.5 MB
Number of downloads5

Product description

Doc Classifier is a tool designed for automatic single or multi-label text document classification. Three classifiers: Naive Bayes (NB), Support Vectors Machine (SVM) and Maximum Entropy classifier are integrated. For feature selection, five methods are used: Document Frequency (DF), Information Gain (IG), Mutual Information (MI), Chi-square and GSS methods. The Doc Classifier tool was developed mainly for testing and evaluation of the document classification methods and for adjusting parameters influencing the accuracy of these methods.


The use of this product is governed by the following license:GNU-GPL

GNU General Public License v.3

Product files

1.doc_classifier.tgz10768 kB