Using of context vectors in text classification
A. S. Eprev
Omsk F. M. Dostoevsky State University
Received September 27, 2010
Abstract.
This paper presents an automatic text classification method based on k–nearest
neighbors classifier and word sense disambiguation method based on WordNet and
context vectors. Experimental results confirm the effectiveness of the approach.
Keywords:
text classification, word sense disambiguation, context vector, WordNet.