Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization

23 March 2025

Papers citing "Exploring Topic Trends in COVID-19 Research Literature using Non-Negative Matrix Factorization"

4 / 4 papers shown

Title
Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time Philipp Wicke M. Bolognesi 30 49 0 16 Mar 2021
CORD-19: The COVID-19 Open Research Dataset Lucy Lu Wang Kyle Lo Yoganand Chandrasekhar Russell Reas Jiangjiang Yang ... Boya Xie Douglas A. Raymond Daniel S. Weld Oren Etzioni Sebastian Kohlmeier 111 811 0 22 Apr 2020
Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach Derek Greene J. Cross 109 180 0 11 Jul 2016
Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks Saurav Ghosh Prithwish Chakraborty E. Nsoesie E. Cohn S. Mekaru J. Brownstein Naren Ramakrishnan 34 40 0 01 Jun 2016