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Social Media Analysis of Higher Education Institutions in UAE

Riktesh Srivastava, Firoj Rauta Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 12 Number 6
Authors:Riktesh Srivastava, Firoj Rauta
10.5120/ijais2017451708
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  1. Firoj Rauta Riktesh Srivastava. Social Media Analysis of Higher Education Institutions in UAE. International Journal of Applied Information Systems 12(6):16-20, September 2017. URL, DOI BibTeX

    @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",
	url = "http://www.ijais.org/archives/volume12/number6/1002-2017451708",
	doi = "10.5120/ijais2017451708",
	publisher = "Foundation of Computer Science (FCS), NY, USA",
	address = "New York, 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:

  1. Federal Institutions (3 in number)
  2. Local institutions (7 in number)
  3. 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.

Reference

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Keywords

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