Measuring contact tracing service quality using sentiment analysis: a case study of PeduliLindungi Indonesia
Author:
Funder
Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi
Publisher
Springer Science and Business Media LLC
Subject
General Social Sciences,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11135-023-01695-8.pdf
Reference28 articles.
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3. Deng, Z., Liu, S., Hinz, O.: The health information seeking and usage behavior intention of Chinese consumers through mobile phones. Inf. Technol. People 28(2), 405–423 (2015). https://doi.org/10.1108/ITP-03-2014-0053
4. Duan, W., Cao, Q., Yu, Y., & Levy, S. (2013). Mining online user-generated content: Using sentiment analysis technique to study hotel service quality. Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 3119–3128. https://doi.org/10.1109/HICSS.2013.400
5. Fahmi, S., Purnamawati, L., Shidik, G.F., Muljono, M., Fanani, A.Z.: Sentiment analysis of student review in learning management system based on sastrawi stemmer and SVM-PSO. Proceedings - 2020 International Seminar on Application for Technology of Information and Communication: IT Challenges for Sustainability. Scalability, and Security in the Age of Digital Disruption, ISemantic 2020, 643–648 (2020). https://doi.org/10.1109/iSemantic50169.2020.9234291
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1. Thematic Analysis of User Experience of Contact Tracing Applications for COVID-19 Using Twitter Data;Journal of Cases on Information Technology;2024-01-10
2. Sentiment Analysis of Social Media for Indonesian m-Health PeduliLindungi Mobile-Apps(PLMA) with Lexicon-Based and Support Vector Machine Approach;2023 IEEE 9th Information Technology International Seminar (ITIS);2023-10-18
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