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Nirmalya Thakur
Mining and analysis of the big data of Twitter conversations have been of significant interest to the scientific community in the fields of healthcare, epidemiology, big data, data science, computer science, and their related areas, as can be seen from s...
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Jeffery T. H. Kong, Filbert H. Juwono, Ik Ying Ngu, I. Gde Dharma Nugraha, Yan Maraden and W. K. Wong
Social media has evolved into a platform for the dissemination of information, including fake news. There is a lot of false information about the current situation of the Coronavirus Disease 2019 (COVID-19) pandemic, such as false information regarding v...
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Lihardo Faisal Simanjuntak, Rahmad Mahendra and Evi Yulianti
Twitter user location data provide essential information that can be used for various purposes. However, user location is not easy to identify because many profiles omit this information, or users enter data that do not correspond to their actual locatio...
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Heba Ismail, Ashraf Khalil, Nada Hussein and Rawan Elabyad
This research proposes a well-being analytical framework using social media chatter data. The proposed framework infers analytics and provides insights into the public?s well-being relevant to education throughout and post the COVID-19 pandemic through a...
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Nayomi Kankanamge, Tan Yigitcanlar and Ashantha Goonetilleke
Providing convenient and effective online education is important for the public to be better prepared for disaster events. Nonetheless, the effectiveness of such education is questionable due to the limited use of online tools and platforms, which also r...
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