Mining of Social Media Data of University Students

Autor/in	Singh, Archana
Titel	Mining of Social Media Data of University Students
Quelle	In: Education and Information Technologies, 22 (2017) 4, S.1515-1526 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-016-9501-1
Schlagwörter	Social Media; College Students; Data Processing; Web Sites; Web 2.0 Technologies; Information Transfer; Opinions; Adolescent Attitudes; Data Collection + Suchen Sie Ihr Suchwort? Soziale Medien; Collegestudent; Datenverarbeitung; Web-Design; Informationsübertragung; Lehrmeinung; Data capture; Datensammlung
Abstract	The youth power to speak their mind, recommendations and opinions about various issues on social media cannot be ignored. There is a generated by students on social media websites like, facebook, Orkut, twitter etc. This paper focusses on the extraction of knowledge from the data floated by the University students on social websites in different categories. The paper proposed a framework to mine the social media raw data using data mining techniques. The data mining techniques K-means are used to mine the data to extract useful information in education sector. The analytical model can help the educational institutions to develop strategies. The knowledge outcome of this paper is to identify the frequent types of flow and exchange of data by University students. This knowledge can be enhanced by knowing students' behavior and interests on the social network. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01