UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1907P37


Registration ID:
224084

Page Number

262-265

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Title

IDENTIFYING AND RANKING COMMONLY EXISTING NEWS TOPICS USING SOCIAL MEDIA FACTORS

Abstract

In last few years, there has been a hard development of incorporating results starting structured data source into keyword based web track systems such as Amazon as well as Google or any search engines. In search engines, different users may seek for different information by issuing the similar query. To convince more users with partial search results, search result diversification re-ranks the results to coat as many user intents as probable. Most presented intent-aware diversification algorithms differentiate user intentions as subtopics, every of which is typically a word, a phrase, or a piece of clarification. Web search queries are regularly uncertain or multi-search, which makes a easy ranked list of consequences insufficient. To assist data finding for such queries, device discover a method that explicitly represents captivating which means of a question the usage of organizations of semantically associated terms retrieved from seek effects . In the proposed work system Fuzzy clustering effectively identifies search engine that are relevant in both social media and news media It focus on social media plan to include other forms i.e., user attention method search engine(image process, video capture ,internet marketing) This search engine provides even more insight in the true interest of users to perform experiment on different areas and datasets.

Key Words

Fuzzy Clustering,Information Filtering, Social Computing, Social Network Analysis, Topic Identification, Topic Ranking

Cite This Article

"IDENTIFYING AND RANKING COMMONLY EXISTING NEWS TOPICS USING SOCIAL MEDIA FACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.262-265, June 2019, Available :http://www.jetir.org/papers/JETIR1907P37.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

"IDENTIFYING AND RANKING COMMONLY EXISTING NEWS TOPICS USING SOCIAL MEDIA FACTORS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp262-265, June 2019, Available at : http://www.jetir.org/papers/JETIR1907P37.pdf

Publication Details

Published Paper ID: JETIR1907P37
Registration ID: 224084
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 262-265
Country: KADAPA, andhra pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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