Abstract:
Automatic classification of documents has become an important research area due to the exponential
growth of digital content and because manual or semi-automatic organization is not effective. On one
hand, manual and semi-automatic classification is very painstaking and labor-intensive. On the other
hand, misclassifications due to vagueness of the documents and classification schemes are inevitable
in these two methods.
Hence, the current study sought to shed a light on these issues. This research proposes an automated
system that can completely classify a given text document by minimizing the vocabulary ambiguities.
One of our previous studies has developed a semi-automatic system for document classification and
here we propose to extend it furthermore to obtain a fully automatic document classification system.
