Abstract
In the context of worldwide events such as natural calamities and pandemics, understanding the sentiments of the people, in general, can pave way for intervention initiatives in public health, service, and security. Likewise, Twitter provides a platform where people can publicly share their thoughts and sentiments in the form of tweets. In this paper, we realize the importance of public data found on Twitter and focus on understanding how Filipinos react as the timeline of events occur in the Philippines during the COVID-19 pandemic. We perform analyses in two main aspects: identification of prominent themes and its trend of usage over time. Results show that Filipinos (a) express positive emotions such as love, hope, and longing, (b) raise concerns over health and testing, and (c) share their experience as main themes of discussion on Twitter. Cross-referencing our results with previous work dealing with thematic analysis on other natural disasters such as earthquakes and typhoons shows that the positive and hopeful mindset is consistent amongst Filipinos.
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Notes
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The terms topic and themes are interchangeable throughout the study.
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This is a common practice in topic modeling research since topics are just lists composed of supporting topic words.
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Imperial, J.M., De La Cruz, A., Malaay, E., Roxas, R.E. (2022). Cross-Textual Analysis of COVID-19 Tweets: On Themes and Trends Over Time. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-2380-6_71
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