Jang, H., Rempel, E., Roth, D., Carenini, G., & Janjua, N. Z. (2021). Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis. Journal of medical Internet research, 23(2), e25431. https://doi.org/10.2196/25431
Chicago Style (17th ed.) CitationJang, Hyeju, Emily Rempel, David Roth, Giuseppe Carenini, and Naveed Zafar Janjua. "Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis." Journal of Medical Internet Research 23, no. 2 (2021): e25431. https://doi.org/10.2196/25431.
MLA (9th ed.) CitationJang, Hyeju, et al. "Tracking COVID-19 Discourse on Twitter in North America: Infodemiology Study Using Topic Modeling and Aspect-Based Sentiment Analysis." Journal of Medical Internet Research, vol. 23, no. 2, 2021, p. e25431, https://doi.org/10.2196/25431.