UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1905223


Registration ID:
208693

Page Number

194-199

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Title

Result Paper: Detecting, Ranking and Domain wise Sorting of News on Social Media

Abstract

Now a days most of the people’s lives have modified dynamically by introduction of social media. every and everybody is victimisation social Media for obtaining info and it's become one among the important supply of data. as an example let’s take example of 1 of the foremost wide used and socially direct social media i.e. twitter. Twitter has become a supply of voice for millions those that wish o categorical what they feel and provides opinion on every and each issue. so we've stumble upon any plan o develop project that uses social media twitter live information set. Since monumental quantity of knowledge or data is being generated daily this has become the supply of motivation to the present project that we've planned and developed. As we tend to mentioned on our analysis paper, for locating news connected information initial of all we want to get rid of or filter noise from the all information. once removing the noise there may be the info that isn't connected news. Therefore we tend to once more we want to use information prioritization. For information prioritization we tend to are progressing to use medium frequency, UA and UI as factors. once sleuthing news connected information we tend to are progressing to rank that news victimisation medium frequency, UA and UI also as we'll reason all the news location wise victimisation comments or reviews. we tend to are progressing to use Twitter information set for performing arts all this operations.

Key Words

Information filtering, social computing, social network analysis, topic identification, topic ranking.

Cite This Article

"Result Paper: Detecting, Ranking and Domain wise Sorting of News on Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.194-199, May-2019, Available :http://www.jetir.org/papers/JETIR1905223.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

"Result Paper: Detecting, Ranking and Domain wise Sorting of News on Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp194-199, May-2019, Available at : http://www.jetir.org/papers/JETIR1905223.pdf

Publication Details

Published Paper ID: JETIR1905223
Registration ID: 208693
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 194-199
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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