Doc Classifier - tool for automatic document classification

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.