Survey of Machine Learning Techniques in Textual Document  Classification

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1

Abstract

 Classification of Text Document points towards associating one or more predefined categories based on the likelihood expressed by the training set of labeled documents. Many machine learning algorithms plays  an important role in training the system with predefined categories. The importance of Machine learning  approach has felt because of which the study has been taken up for text document classification based on the  statistical event models available. The aim of this paper is to present the important techniques and  methodologies that are employed for text documents classification, at the same time making awareness of some  of the interesting challenges that remain to be solved, focused mainly on text representation and machine  learning techniques.

Authors and Affiliations

S. W. Mohod

Keywords

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  • EP ID EP104713
  • DOI -
  • Views 109
  • Downloads 0

How To Cite

S. W. Mohod (2014).  Survey of Machine Learning Techniques in Textual Document  Classification. IOSR Journals (IOSR Journal of Computer Engineering), 16(1), 17-21. https://europub.co.uk/articles/-A-104713