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Mining of Social Media data of University students

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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.

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Authors and Affiliations

  1. Amity University, Uttar Pradesh, Noida, India

    Archana Singh

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  1. Archana Singh
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Correspondence to Archana Singh.

Appendix

Appendix

1.1 The questionnaire was based on the type of information accessed by the university students

Table 3

Table 3 Types of Information accessed by the students on hourly, daily and weekly basis
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Singh, A. Mining of Social Media data of University students. Educ Inf Technol 22, 1515–1526 (2017). https://doi.org/10.1007/s10639-016-9501-1

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