Social Media Mining Toolkit (SMMT)
Ramya Tekumalla, Juan M. Banda
Genomics Inform. 2020;18(2):e16  Published online 2020 Jun 15     DOI:
Citations to this article as recorded by Crossref logo
Using Tweets to Understand How COVID-19–Related Health Beliefs Are Affected in the Age of Social Media: Twitter Data Analysis Study
Hanyin Wang, Yikuan Li, Meghan Hutch, Andrew Naidech, Yuan Luo
Journal of Medical Internet Research.2021; 23(2): e26302.     CrossRef
Changes in Public Response Associated With Various COVID-19 Restrictions in Ontario, Canada: Observational Infoveillance Study Using Social Media Time Series Data
Antony Chum, Andrew Nielsen, Zachary Bellows, Eddie Farrell, Pierre-Nicolas Durette, Juan M Banda, Gerald Cupchik
Journal of Medical Internet Research.2021; 23(8): e28716.     CrossRef
A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research—An International Collaboration
Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Ekaterina Artemova, Elena Tutubalina, Gerardo Chowell
Epidemiologia.2021; 2(3): 315.     CrossRef
Understanding and countering the spread of conspiracy theories in social networks: Evidence from epidemiological models of Twitter data
Julian Kauk, Helene Kreysa, Stefan R. Schweinberger, Stefano Cresci
PLOS ONE.2021; 16(8): e0256179.     CrossRef
Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts
Alessandro N. Vargas, Alexander Maier, Marcos B. R. Vallim, Juan M. Banda, Victor M. Preciado
Frontiers in Psychology.2021;[Epub]     CrossRef
A biomedically oriented automatically annotated Twitter COVID-19 dataset
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
Genomics & Informatics.2021; 19(3): e21.     CrossRef
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions
Ramya Tekumalla, Juan M. Banda
Neural Computing and Applications.2021;[Epub]     CrossRef