COVID-19: Detecting Government Pandemic Measures and Public Concerns from Twitter Arabic Data Using Distributed Machine Learning
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- Tan Yigitcanlar & Nayomi Kankanamge & Karen Vella, 2021. "How Are Smart City Concepts and Technologies Perceived and Utilized? A Systematic Geo-Twitter Analysis of Smart Cities in Australia," Journal of Urban Technology, Taylor & Francis Journals, vol. 28(1-2), pages 135-154, April.
- Diya Li & Harshita Chaudhary & Zhe Zhang, 2020. "Modeling Spatiotemporal Pattern of Depressive Symptoms Caused by COVID-19 Using Social Media Data Mining," IJERPH, MDPI, vol. 17(14), pages 1-23, July.
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- Nala Alahmari & Rashid Mehmood & Ahmed Alzahrani & Tan Yigitcanlar & Juan M. Corchado, 2023. "Autonomous and Sustainable Service Economies: Data-Driven Optimization of Design and Operations through Discovery of Multi-Perspective Parameters," Sustainability, MDPI, vol. 15(22), pages 1-44, November.
- Shweta Agrawal & Sanjiv Kumar Jain & Shruti Sharma & Ajay Khatri, 2022. "COVID-19 Public Opinion: A Twitter Healthcare Data Processing Using Machine Learning Methodologies," IJERPH, MDPI, vol. 20(1), pages 1-17, December.
- Tim Hulsen, 2022. "Data Science in Healthcare: COVID-19 and Beyond," IJERPH, MDPI, vol. 19(6), pages 1-4, March.
- Raniah Alsahafi & Ahmed Alzahrani & Rashid Mehmood, 2023. "Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations," Sustainability, MDPI, vol. 15(5), pages 1-64, February.
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Keywords
COVID-19; coronavirus; machine learning; big data; social media; apache spark; Twitter; Arabic language; distributed computing; smart cities; smart healthcare; smart governance; Triple Bottom Line (TBL);All these keywords.
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