Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Mohammadzaman Zamani

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
Proceedings of the ... International World-Wide Web Conference. International WWW Conference|June 21, 2021
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the OrdinaryMohammadzaman Zamani, H Andrew Schwartz
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|June 7, 2021
Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic ModelingMohammadzaman Zamani, H Andrew Schwartz, Johannes Eichstaedt, et al.
AJPM Focus|December 27, 2022
Depression and Anxiety on Twitter During the COVID-19 Stay-At-Home Period in 7 Major U.S. CitiesDanielle Levanti, Rebecca N Monastero, Mohammadzaman Zamani, et al.
Plos One|February 23, 2022
The where and when of COVID-19: Using ecological and Twitter-based assessments to examine impacts in a temporal and community contextGiancarlo Pasquini, Giselle Ferguson, Isabella Bouklas, et al.
Frontiers in Social Psychology|November 7, 2025
Quantifying generalized trust in individuals and counties using languageSalvatore Giorgi, Jason Jeffrey Jones, Anneke Buffone, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Proceedings of the ... International World-Wide Web Conference. International WWW Conference|June 21, 2021
Contrastive Lexical Diffusion Coefficient: Quantifying the Stickiness of the OrdinaryMohammadzaman Zamani, H Andrew Schwartz
Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing|June 7, 2021
Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic ModelingMohammadzaman Zamani, H Andrew Schwartz, Johannes Eichstaedt, et al.
AJPM Focus|December 27, 2022
Depression and Anxiety on Twitter During the COVID-19 Stay-At-Home Period in 7 Major U.S. CitiesDanielle Levanti, Rebecca N Monastero, Mohammadzaman Zamani, et al.
Plos One|February 23, 2022
The where and when of COVID-19: Using ecological and Twitter-based assessments to examine impacts in a temporal and community contextGiancarlo Pasquini, Giselle Ferguson, Isabella Bouklas, et al.
Frontiers in Social Psychology|November 7, 2025
Quantifying generalized trust in individuals and counties using languageSalvatore Giorgi, Jason Jeffrey Jones, Anneke Buffone, et al.
Pageof 1