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ERIC Number: EJ1145897
Record Type: Journal
Publication Date: 2017-Jul
Pages: 12
Abstractor: As Provided
Reference Count: 20
ISBN: N/A
ISSN: ISSN-1360-2357
Mining of Social Media Data of University Students
Singh, Archana
Education and Information Technologies, v22 n4 p1515-1526 Jul 2017
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.
Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A