Classifying text documents using unconventional representation

Abstract

Classification of text documents is one of the most common themes in the field of machine learning. Although a text document expresses a wide range of information, but it lacks the imposed structure of tradition database. Thus, unstructured data, particularly free running text data has to be transferred into a structured data. Hence, in this paper we… (More)
DOI: 10.1109/BIGCOMP.2014.6741438

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Cite this paper

@article{Harish2014ClassifyingTD, title={Classifying text documents using unconventional representation}, author={B. S. Harish and S. V. Aruna Kumar and S. Manjunath}, journal={2014 International Conference on Big Data and Smart Computing (BIGCOMP)}, year={2014}, pages={210-216} }