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Paper Details
Paper Title
Text Classification through Statistical and Machine Learning Methods: A Survey
Authors
Krina Vasa
Abstract
With the instant growth of information, text classification has become a vital technique for handling and organizing text data. In general, Text classification plays an important role in information extraction, text summarization text retrieval, medical diagnosis, news group filtering, spam filtering, and sentiment analysis. This paper illustrates the text classification process using machine learning techniques and statistical techniques such as k-nearest neighbors, support vector machine, naive Bayesian method.
Keywords- Text classification, k-nearest neighbor, naive bayesian, support vector machine
Publication Details
Unique Identification Number - IJEDR1602114Page Number(s) - 655-658Pubished in - Volume 4 | Issue 2 | May 2016DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Krina Vasa, "Text Classification through Statistical and Machine Learning Methods: A Survey", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.655-658, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602114.pdf
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