AUTOMATIC TEXT CLASSIFIERS TECHNIQUE FOR REGIONAL LANGUAGE
DOI:
https://doi.org/10.24113/ijoscience.v2i7.102Keywords:
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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Copyright (c) 2016 Pankaj
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