UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 6
June-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1706030


Registration ID:
170442

Page Number

138-141

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Title

Text Analysis for Author Identification using Machine Learning

Abstract

India is the home to thousands of languages due to its diversity and culture. Usually while referring to literatures, we cannot make out whether we are referring to the original one or not. Another issue that comes into play is that the work of well-known authors is copied as it is which leads to the spread of plagiarism. In this project, we attempt to find a solution for this issue by implementing a system for author identification using machine learning and text data mining in Devanagari script. We implement this system by using modified versions of SVM (Support vector machine), Naïve Bayes, K-NN (K nearest neighbour) by giving the Devanagari script as input. We carry out comparison and analysis of the result of each algorithm which we will achieve in terms of accuracy of identifying the author and showing the result. We conclude this with best suitable techniques and features.

Key Words

Devanagari, K-NN, Machine learning, Naïve Bayes, SVM

Cite This Article

"Text Analysis for Author Identification using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 6, page no.138-141, June-2017, Available :http://www.jetir.org/papers/JETIR1706030.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Text Analysis for Author Identification using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 6, page no. pp138-141, June-2017, Available at : http://www.jetir.org/papers/JETIR1706030.pdf

Publication Details

Published Paper ID: JETIR1706030
Registration ID: 170442
Published In: Volume 4 | Issue 6 | Year June-2017
DOI (Digital Object Identifier):
Page No: 138-141
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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