Self-training classifier of natural-language texts

Authors:
E. S. Borisov
Affiliations:
Cybernetics Institute, National Academy of Sciences of Ukraine, Kiev, Ukraine
Venue:
Cybernetics and Systems Analysis
Year:
2007

Citing 2
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Abstract

A natural-language text classifier is developed using an artificial neural network. A model of the classifier and its implementation are proposed. The classification system consists of two main components, namely, a frequency analyzer and a neural network classifier. Before using the classifier, the user should first prepare a set of training texts and then train the classifier.