EMPIRICAL EVALUATION OF MACHINE LEARNING ALGORITHMS FOR AUTOMATIC DOCUMENT CLASSIFICATION

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Published: Oct 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i8.4699
Keywords:
Text Mining, Machine Learning, Document Classification and Information Retrieval.

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Chakravarthy T
Associate Professor
Kumaravelan G
Assistant Professor
P.V. Arivoli

Abstract

Automatic document classification process is the important area of research in the field of Text Mining(TM). Text mining is the process of discovering the interesting pattern or knowledge from huge amount of data. The document classification process used in many domains. Here, to take the classification process is apply SMS spam classification. The bench marked dataset is used and the same data set is processed in various ML algorithms of Naïve Bayes, Support Vector Machine, Decision Tree and Logistic Regression model. In this paper evaluates the results of various machine learning algorithms for automatic document classification in SMS spam classification.

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Vol. 8 No. 8 (2017): September-October
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