Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Lisa Singh"'
Autor:
Lisa Singh, Le Bao, Leticia Bode, Ceren Budak, Josh Pasek, Trivellore Raghunathan, Michael Traugott, Yanchen Wang, Nathan Wycoff
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-12 (2024)
Abstract Anti-vaccine sentiment during the COVID-19 pandemic grew at an alarming rate, leaving much to understand about the relationship between people’s vaccination status and the information they were exposed to. This study investigated the relat
Externí odkaz:
https://doaj.org/article/213c75e09d204407a4fef570416dab58
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e45187 (2023)
BackgroundGun violence research is characterized by a dearth of data available for measuring key constructs. Social media data may offer a potential opportunity to significantly reduce that gap, but developing methods for deriving firearms-related co
Externí odkaz:
https://doaj.org/article/b84c04aa3b014458953c4452f39352ef
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 8, p e38319 (2022)
BackgroundHistoric constraints on research dollars and reliable information have limited firearm research. At the same time, interest in the power and potential of social media analytics, particularly in health contexts, has surged. ObjectiveThe aim
Externí odkaz:
https://doaj.org/article/782a5460f68540ba95dd2f2738a44d67
Publikováno v:
Harvard Data Science Review (2022)
Externí odkaz:
https://doaj.org/article/0283570c543f459286dd385360c76182
Publikováno v:
Health SA Gesondheid: Journal of Interdisciplinary Health Sciences, Vol 26, Iss 0, Pp e1-e6 (2021)
Background: Drug-resistant tuberculosis (DR-TB) has become a serious cause of concern both on a global scale and in South Africa. It is associated with a lower successful treatment rate, thus creating a hurdle in achieving good treatment outcomes for
Externí odkaz:
https://doaj.org/article/c925f7e904774cfc9d23500e59c7e23c
Autor:
Rob Churchill, Lisa Singh
Publikováno v:
Knowledge and Information Systems. 65:2159-2186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4367a85ba4685f0731b664083f2c4ec
https://doi.org/10.1007/s10115-022-01805-2
https://doi.org/10.1007/s10115-022-01805-2
Publikováno v:
Atlantic Journal of Communication. 31:243-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc2798ced73548508e6ea97a46854dff
https://doi.org/10.1080/15456870.2022.2061713
https://doi.org/10.1080/15456870.2022.2061713
Publikováno v:
Machine Learning. 111:2515-2536
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61751a361dca55013e5ee364432d5a61
https://doi.org/10.1007/s10994-022-06176-x
https://doi.org/10.1007/s10994-022-06176-x
Publikováno v:
Contemporary French and Francophone Studies. 26:232-256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c12b855e374cbadba6ca7f03cc279ac
https://doi.org/10.1080/17409292.2022.2076395
https://doi.org/10.1080/17409292.2022.2076395
Autor:
Rob Churchill, Lisa Singh
Publikováno v:
ACM Computing Surveys. 54:1-35
Topic models have been applied to everything from books to newspapers to social media posts in an effort to identify the most prevalent themes of a text corpus. We provide an in-depth analysis of unsupervised topic models from their inception to toda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07b2b5b11a69b2fde538541778092f25
https://doi.org/10.1145/3507900
https://doi.org/10.1145/3507900