UGC Approved Journal no 63975(19)

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

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904088


Registration ID:
201926

Page Number

631-636

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Title

Tweet Summarization: A new Approach

Abstract

The utilization of online networking is expanding step by step. It has turned into an imperative mechanism for getting data about current happenings around the globe. Among different online networking stages, with millions of clients, twitter is a standout among the most prominent social networking site. Throughout the years sentiment analysis is being performed on twitter to comprehend what tweets that are posted mean. The motivation behind this paper is to overview different tweet division and synopsis strategies and the significance of Particle Swarm Optimization (PSO) algorithm for tweet summarization.

Key Words

tweet summary, Particle swarm optimization, segmentation

Cite This Article

"Tweet Summarization: A new Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.631-636, April-2019, Available :http://www.jetir.org/papers/JETIR1904088.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

"Tweet Summarization: A new Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp631-636, April-2019, Available at : http://www.jetir.org/papers/JETIR1904088.pdf

Publication Details

Published Paper ID: JETIR1904088
Registration ID: 201926
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 631-636
Country: vasai west, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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