Year 2021, Volume 22 , Issue 3, Pages 124 - 138 2021-07-01

TURKISH SENTIMENT ANALYSIS FOR OPEN AND DISTANCE EDUCATION SYSTEMS

Zeliha ERGUL AYDIN [1] , Zehra KAMISLI OZTURK [2] , Zeynep Idil ERZURUM CICEK [3]


Students’ opinions are the most essential source to enhance the quality of education and educational services in Open and Distance education (ODE) Systems. How to access and analyze students’ real opinions is a problem for ODE institutions. The purpose of the present study is to conduct a sentiment analysis (SA) on the collected Turkish tweets about an ODE system to monitor students’ opinions and sentiments about the system. Firstly, the related 63699 tweets about the ODE system are gathered and analyzed. Later, pre- processing is applied to the dataset. Sentence-based SA is performed with the data provided. The dataset is vectorized using two vector space models to test four classifiers which are Support Vector Machines, K-Nearest Neighbor, Logistic Regression (LR), and Artificial Neural Networks. F-score values obtained with these classifiers are evaluated, and the results are discussed. LR classifier gives the best F-score values with %75 for each vector space model. Through the SA results, students’ dissatisfaction, appreciation, and concerns will be learned quickly by the university administration to develop strategies that will increase the quality of education and educational services.
Sentiment analysis, machine learning, open and distance education system, natural language processing, social media, Twitter
  • Ahmed, S., Jaidka, K., & Cho, J. (2016). The 2014 Indian elections on Twitter: A comparison of campaign strategies of political parties. Telematics and Informatics, 33 (4), 1071-1087.
  • Ahuja, R., Chug, A., Kohli, S., Gupta, S., & Ahuja, P. (2019). The Impact of Features Extraction on the Sentiment Analysis. Procedia Computer Science, 152, 341-348.
  • Ali, M., & Abdel-Haq, M. K. Bibliographical Analysis of Artificial Intelligence Learning in Higher Education: Is the Role of the Human Educator and Educated a Thing of the Past?. In Fostering Communication and Learning With Underutilized Technologies in Higher Education (pp. 36-52). IGI Global.)
  • Firat, M., Altinpulluk, H., Kilinc, H., & Buyuk, K. (2017). Determining open education related social media usage trends in Turkey using a holistic social network analysis. Educational Sciences: Theory & Practice, 17(4), 1361-1382.
Primary Language en
Subjects Social
Journal Section Articles
Authors

Author: Zeliha ERGUL AYDIN
Institution: ESKISEHIR TECHNICAL UNIVERSİTY
Country: Turkey


Author: Zehra KAMISLI OZTURK
Institution: ESKISEHIR TECHNICAL UNIVERSİTY
Country: Turkey


Author: Zeynep Idil ERZURUM CICEK
Institution: ESKISEHIR TECHNICAL UNIVERSİTY
Country: Turkey


Dates

Application Date : June 15, 2020
Acceptance Date : July 30, 2021
Publication Date : July 1, 2021

APA Ergul Aydın, Z , Kamıslı Ozturk, Z , Erzurum Cıcek, Z . (2021). TURKISH SENTIMENT ANALYSIS FOR OPEN AND DISTANCE EDUCATION SYSTEMS . Turkish Online Journal of Distance Education , 22 (3) , 124-138 . DOI: 10.17718/tojde.961825