Public Perceptions of Online Learning in Developing Countries: A Study Using The ELK Stack for Sentiment Analysis on Twitter
This study explores public perceptions toward online learning application in Indonesia. Many studies about online learning were done in developed countries and only a few in developing countries. Moreover, these studies used a qualitative approach which limits the results to be applied in different...
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| Veröffentlicht in: | International journal of emerging technologies in learning 2020-01, Vol.15 (9), p.94 |
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| container_title | International journal of emerging technologies in learning |
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| creator | Persada, Satria Fadil Oktavianto, Andri Miraja, Bobby Nadlifatin, Reny Belgiawan, Prawira Fajarindra Perwira Redi, A.A.N Perwira |
| description | This study explores public perceptions toward online learning application in Indonesia. Many studies about online learning were done in developed countries and only a few in developing countries. Moreover, these studies used a qualitative approach which limits the results to be applied in different settings. While traditional research using a survey to understand people's perception towards an entity requires a lot of time and efforts; we used efficient and effective manners to gather opinions and then analysed its sentiments using the Logstash, Kibana and Python programming language stack (ELK) stack and Naïve Bayes algorithm. We used Naïve Bayes algorithm for sentiment analysis and ELK stack for storing & gathering tweets from Twitter. With ELK stack, we successfully collected 133.477 tweets related to online learning. From this study, we understood what kind of words that are sentimentally positive and negative tweets. We also gained some insights regarding Indonesia’s student online learning application preferences. |
| doi_str_mv | 10.3991/ijet.v15i09.11579 |
| format | Article |
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| ispartof | International journal of emerging technologies in learning, 2020-01, Vol.15 (9), p.94 |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; EBSCOhost Education Source |
| subjects | Algorithms Developed Nations Developing countries Distance learning Electronic Learning LDCs Mathematics Perceptions Programming Languages Sentiment analysis |
| title | Public Perceptions of Online Learning in Developing Countries: A Study Using The ELK Stack for Sentiment Analysis on Twitter |
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