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Reseach Article

A Survey on Content based Semantic Relations in Tweets

by Alby Thomas, Sindhu L.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 11
Year of Publication: 2015
Authors: Alby Thomas, Sindhu L.
10.5120/ijca2015907558

Alby Thomas, Sindhu L. . A Survey on Content based Semantic Relations in Tweets. International Journal of Computer Applications. 132, 11 ( December 2015), 14-18. DOI=10.5120/ijca2015907558

@article{ 10.5120/ijca2015907558,
author = { Alby Thomas, Sindhu L. },
title = { A Survey on Content based Semantic Relations in Tweets },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 11 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number11/23637-2015907558/ },
doi = { 10.5120/ijca2015907558 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:05.551706+05:30
%A Alby Thomas
%A Sindhu L.
%T A Survey on Content based Semantic Relations in Tweets
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 11
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Twitter is a popular micro blogging site, in which people share their ideas and views with others. Because of different writing conventions and character restriction there may be variation in the impact for the same event. Analyzing semantic relationship and analyze the variations have several use cases such as event detect etc. there are several technique are available for event detection and term similarity analysis using semantic information of tweets. This survey paper aims to highlight these techniques.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Event detection clustering term co-occurrence semantics event clusters term similarity.