Social Media Analysis of Higher Education Institutions in UAE
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:
- 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.
Reference
- A. A. e. al., "Sentiment Analysis of Social Media for Evaluating Universities," in Proceedings of Second International Conference on Digital Information Processing, Data Mining, and Wireless Communications (DIPDMWC2015), Dubai, 2015.
- S. E. S. Khadeegha Alzouebi, "Digital and Social Learning: Transforming Education for the Next Generation," European Journal of Open, Distance and E-Learning (EURODL), pp. 1-17, 2016.
- P. Ekman, "An Arguements for Basic Emotions," Cognition and Emotion, pp. 169-200, 1992.
- A. H. H. K. Walaa Medhata et. al, "Sentiment analysis algorithms and applications: A survey," Ain Shams Engineering Journal, pp. 1093-1113, 2014.
- CAA, "Commission for Academic Accreditation," 2017. [Online]. Available: https://www.caa.ae/caa/DesktopModules/Institutions.aspx. [Accessed 3 8 2017].
- KHDA, "The Higher Education Landscape in Dubai 2012," KHDA, Dubai, 2012.
- L. G. Harald Gapski, "Medienkompetenzim web 2.0–lebensqualit¨at als zielperspektive," Praxis Web, no. 2, pp. 11-34, 2007.
- R. Kozinets, "The field behind the screen: using netnography for marketing research in online communities," Journal of Market Research, pp. 61-72, 2002.
Keywords
Naïve Bayes Algorithm, Sentiment polarities, Twitter, Federal Institutions, CAA, KHDA, Foreign University Campus