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
Proceedings 4th International Symposium on Innovative Approaches in Engineering and Natural Sciences
Volume 9 Pages 270–272 Year 2019
References
- A. Sağır, “Karabük’te üniversite algısı: Karabük Üniversitesi örneği,” İnsan ve Toplum Bilimleri Araştırmaları Dergisi, cilt 2(2), sayfa 49-81, 2013.
- M. Rathan, V. R. Hulipalled, K. R. Venugopal, and L. M. Patnaik “Consumer insight mining: Aspect based twitter opinion mining of mobile phone reviews,” Applied Soft Computing, vol. 68, p. 765-773, 2018.
- A. Bifet, and E. Frank, “Sentiment knowledge discovery in twitter streaming data,” In International conference on discovery science, pp. 1-15, 2010.
- J. Guo, P. Zhang, and L. Guo, “Mining hot topics from twitter streams,” Procedia Computer Science, vol. 9, pp. 2008-2011, 2012.
- S. Das, A. Dutta, G. Medina, L. Minjares-Kyle, and Z. Elgart, “Extracting patterns from Twitter to promote biking,” IATSS Research, vol. 43(1), pp. 51-59. 2019.
- S. Lim, C. S. “Mining Twitter data for causal links between tweets and real-world outcomes”, Expert Systems with Applications: X, vol. 3, 2019.
- M. Mozaffarinya, A.R. Shahriyari, M. K. Bahadori, A. Ghazvini, S.S. Athari, and G. Vahedi, “A data-mining algorithm to assess key factors in asthma diagnosis,” Revue Française d'Allergologie, vol. 59 (7), pp. 487-492, 2019.
- P. Ristoski, C. Bizer, and H. Paulheim, “Mining the web of linked data with rapidminer,” Web Semantics: Science, Services and Agents on the World Wide Web, vol. 35, pp. 142-151, 2015.
- J. Ribeiro, J. Duarte, F. Portela, and M. F. Santos, “Automatically detect diagnostic patterns based on clinical notes through Text Mining,” Procedia Computer Science, vol. 160, pp. 684-689. 2019.
- A. Viloria, J. R. López, K. Payares, C. Vargas-Mercado, S. E. Duran, H. Hernández-Palma, and M. A. David, “Determinating Student Interactions in a Virtual Learning Environment Using Data Mining,” Procedia Computer Science, vol. 155, pp. 587-592, 2019.
- W. Ji, and L. Wang, “Big data analytics based fault prediction for shop floor scheduling,” Journal of Manufacturing Systems, vol. 43, pp. 187-194, 2017.
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