AUTOMATIC TEXT CLASSIFIERS TECHNIQUE FOR REGIONAL LANGUAGE

Authors

  • PANKAJ , NET (COMPUTER SCIENCE & APPLICATIONS) B.TECH.( IT) MCA MBA ( IT & MARKETING) MAHARSHI DAYANAND UNIVERSITY, ROHTAK HARYANA INDIA

DOI:

https://doi.org/10.24113/ijoscience.v2i7.102

Keywords:

Text classification, Clustering, Naïve Bayes, KNearest Neighbor, Support Vector Machine, Hybrid Approach.

Abstract

The quick improvement of the Information innovation has prompted to the gathering of reports in Indian local dialects. To order a great many reports physically is a costly and tedious errand. Thusly, programmed content classifiers are developed which sort a given arrangement of reports in various classes and whose exactness and time effectiveness is vastly improved than manual content order. This paper shows a review of content classification methods for Indian territorial dialects.

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Published

10/30/2015

How to Cite

, P. (2015). AUTOMATIC TEXT CLASSIFIERS TECHNIQUE FOR REGIONAL LANGUAGE. SMART MOVES JOURNAL IJOSCIENCE, 2(7). https://doi.org/10.24113/ijoscience.v2i7.102