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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2016 Pankaj

This work is licensed under a Creative Commons Attribution 4.0 International License.
IJOSCIENCE follows an Open Journal Access policy. Authors retain the copyright of the original work and grant the rights of publication to the publisher with the work simultaneously licensed under a Creative Commons CC BY License that allows others to distribute, remix, adapt, and build upon your work, even commercially, as long as they credit you for the original creation. Authors are permitted to post their work in institutional repositories, social media or other platforms.
Under the following terms:
-
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.