Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling
Mohammadzaman Zamani, H. Andrew Schwartz, Johannes Eichstaedt, Sharath Chandra Guntuku, Adithya Virinchipuram Ganesan, Sean Clouston, Salvatore Giorgi
Abstract
The novelty and global scale of the COVID-19 pandemic has lead to rapid societal changes in a short span of time. As government policy and health measures shift, public perceptions and concerns also change, an evolution documented within discourse on social media. We propose a dynamic content-specific LDA topic modeling technique that can help to identify different domains of COVID-specific discourse that can be used to track societal shifts in concerns or views. Our experiments show that these model-derived topics are more coherent than standard LDA topics, and also provide new features that are more helpful in prediction of COVID-19 related outcomes including social mobility and unemployment rate.- Anthology ID:
- 2020.nlpcss-1.21
- Volume:
- Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- David Bamman, Dirk Hovy, David Jurgens, Brendan O'Connor, Svitlana Volkova
- Venue:
- NLP+CSS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 193–198
- Language:
- URL:
- https://aclanthology.org/2020.nlpcss-1.21
- DOI:
- 10.18653/v1/2020.nlpcss-1.21
- Cite (ACL):
- Mohammadzaman Zamani, H. Andrew Schwartz, Johannes Eichstaedt, Sharath Chandra Guntuku, Adithya Virinchipuram Ganesan, Sean Clouston, and Salvatore Giorgi. 2020. Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling. In Proceedings of the Fourth Workshop on Natural Language Processing and Computational Social Science, pages 193–198, Online. Association for Computational Linguistics.
- Cite (Informal):
- Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling (Zamani et al., NLP+CSS 2020)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/2020.nlpcss-1.21.pdf
- Code
- wwbp/weekly_covid_lda_topics