UGC Approved Journal no 63975(19)

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

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1805510


Registration ID:
182438

Page Number

537-541

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Title

LITERATURE SURVEY ANALYSIS USING STYLOMETRIC APPROACH

Abstract

Stylometry examination of given electronic writings can consider the extraction of data about their writers by breaking down the elaborate decisions the writers make to compose their writings. Creation investigation is the measurable investigation of semantic and computational attributes of the composed records of people. The two principle factors that portray a content are its substance and its style, and both can be utilized as a methods for order. In this paper we exhibit a way to deal with content arrangement as far as class and creator. Rather than past stylometric approaches, we endeavor to take full favorable position of existing common dialect handling (NLP) instruments. To this end, we propose an arrangement of style markers including investigation level measures that speak to the manner by which the info content has been examined and catch helpful expressive data without extra cost. We display an arrangement of little scale yet sensible tests in content classification recognition, creator recognizable proof, and creator check undertakings and demonstrate that the proposed technique performs superior to the most prominent distributional lexical measures, i.e., elements of vocabulary abundance and frequencies of event of the most regular words. All the displayed tests depend on unhindered content downloaded from the World Wide Web with no manual content preprocessing or content examining. Different execution issues with respect to the preparation set size and the centrality of the proposed style markers are talked about. Our framework can be utilized as a part of any application that requires quick and effortlessly versatile content order as far as elaborately homogeneous classes. Besides, the technique of characterizing examination level markers can be followed with a specific end goal to remove helpful complex data utilizing existing content handling instruments.

Key Words

Stylometry, anonymity, Stylometry analysis, linguistic analysis, Bigdata.

Cite This Article

"LITERATURE SURVEY ANALYSIS USING STYLOMETRIC APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.537-541, May-2018, Available :http://www.jetir.org/papers/JETIR1805510.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

"LITERATURE SURVEY ANALYSIS USING STYLOMETRIC APPROACH", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp537-541, May-2018, Available at : http://www.jetir.org/papers/JETIR1805510.pdf

Publication Details

Published Paper ID: JETIR1805510
Registration ID: 182438
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 537-541
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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