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Social Media Analysis of Higher Education Institutions in UAE

by Riktesh Srivastava, Firoj Rauta
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 6
Year of Publication: 2017
Authors: Riktesh Srivastava, Firoj Rauta
10.5120/ijais2017451708

Riktesh Srivastava, Firoj Rauta . Social Media Analysis of Higher Education Institutions in UAE. International Journal of Applied Information Systems. 12, 6 ( September 2017), 16-20. DOI=10.5120/ijais2017451708

@article{ 10.5120/ijais2017451708,
author = { Riktesh Srivastava, Firoj Rauta },
title = { Social Media Analysis of Higher Education Institutions in UAE },
journal = { International Journal of Applied Information Systems },
issue_date = { September 2017 },
volume = { 12 },
number = { 6 },
month = { September },
year = { 2017 },
issn = { 2249-0868 },
pages = { 16-20 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number6/1002-2017451708/ },
doi = { 10.5120/ijais2017451708 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:08:19.757938+05:30
%A Riktesh Srivastava
%A Firoj Rauta
%T Social Media Analysis of Higher Education Institutions in UAE
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 6
%P 16-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents social media analysis of data obtained from twitter handle of three types of higher education institutions and evaluate students’ involvement of higher education in the United Arab Emirates (UAE). The higher education institutions are divided into three sections: Federal Institutions (3 in number) Local institutions (7 in number) Foreign University campus (8 in number) It was observed that students were inclined to University twitter handle for both educational and non-education aspects. Many of the tweets were focused on students discussing about their experiences and academic motivations. The study was divided into two parts, wherein, at first tweets related to above mentioned three types of higher education are collected. Secondly, the collected tweets are classified into sentiments. The paper also does a comparative study of the sentiments between higher education’s paving way for future explorations.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Naïve Bayes Algorithm Sentiment polarities Twitter Federal Institutions CAA KHDA Foreign University Campus

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