Document Classification using Neural Networks Based on Words

Vallari Kothari, Chaitanya Naik, Zankhana Rana

Abstract


Categorization is the process of classifying the documents into various predefined categories called as classes. A category is chosen considering the relation between the subject of the category and the document belonging to it. Document categorization may include classification of text, images, audio etc. There is huge information being stored in various electronic forms and hence, a proper classification of documents is necessary to achieve an organized data. This paper explains classification of documents into predefined classes using neural networks with the use of MATLAB tool.

 

Keywords: Document classification, neural networks, training, testing.


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DOI: https://doi.org/10.26483/ijarcs.v6i2.2429

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