Skip to content
Research Article Peer ReviewedAt least two reviewers Open Access

Assessment of University Perception Based on Twitter Data

1Sinop University
2Bartın University
✉ Corresponding author: Selahattin Bardak · sbardak@sinop.edu.tr
PDF BibTeX RIS

Abstract

Universities play a key role in the cultural and economic development of countries. It also provides necessary and useful information to the community. Industry university collaborations are essential for the emergence and diffusion of innovations. For these reasons, perceptions of universities in the public game are extremely important. By determining whether the opinions about universities are positive or negative, more accurate decisions can be made in terms of perception. In order to change the perceptions positively, it is necessary to understand the thoughts in the society. With social media mining, ideas are effective and easier to understand than other methods. Tweets were collected in this study. Tweets were regularly recorded for three months. Then the sentences were separated into words and their frequency was determined. For this purpose Rapidminer software which is widely used in the world is used. This software has attracted interest in many data, web and social media mining studies. The main reason for this is that it is easy to use and available in many data mining tools. As a result of the study, it was determined which words are more frequently mentioned in university tweets. Further studies are needed in the future.

Keywords

Cite this article

Bardak, S., & Bardak, T. (2019). Assessment of University Perception Based on Twitter Data. In 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences (pp. 270–272). SET Technology. https://doi.org/10.36287/setsci.4.6.077

Article History

Published
22 Dec 2019

License

© 2019 SET Technology. This article is distributed under the terms of the CC BY 4.0.

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide