Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Mohammadzaman Zamani"'
Autor:
Salvatore Giorgi, Jason Jeffrey Jones, Anneke Buffone, Johannes C. Eichstaedt, Patrick Crutchley, David B. Yaden, Jeanette Elstein, Mohammadzaman Zamani, Jennifer Kregor, Laura Smith, Martin E. P. Seligman, Margaret L. Kern, Lyle H. Ungar, H. Andrew Schwartz
Publikováno v:
Frontiers in Social Psychology, Vol 2 (2024)
Trust is predictive of civic cooperation and economic growth. Recently, the U.S. public has demonstrated increased partisan division and a surveyed decline in trust in institutions. There is a need to quantify individual and community levels of trust
Externí odkaz:
https://doaj.org/article/ea40aa6a171d47848075653e3336b9bf
Autor:
Danielle Levanti, Rebecca N. Monastero, MD, Mohammadzaman Zamani, PhD, Johannes C. Eichstaedt, PhD, Salvatore Giorgi, MA, H. Andrew Schwartz, PhD, Jaymie R. Meliker, PhD
Publikováno v:
AJPM Focus, Vol 2, Iss 1, Pp 100062- (2023)
Introduction: Although surveys are a well-established instrument to capture the population prevalence of mental health at a moment in time, public Twitter is a continuously available data source that can provide a broader window into population menta
Externí odkaz:
https://doaj.org/article/2e8465f5a1494002accb224224d074dc
Autor:
Giancarlo Pasquini, Giselle Ferguson, Isabella Bouklas, Huy Vu, Mohammadzaman Zamani, Ruixue Zhaoyang, Karra D. Harrington, Nelson A. Roque, Jacqueline Mogle, H. Andrew Schwartz, Stacey B. Scott
Publikováno v:
PLoS ONE, Vol 17, Iss 2 (2022)
In March 2020, residents of the Bronx, New York experienced one of the first significant community COVID-19 outbreaks in the United States. Focusing on intensive longitudinal data from 78 Bronx-based older adults, we used a multi-method approach to (
Externí odkaz:
https://doaj.org/article/818e0948ed584940879205970018ea4b
Autor:
Danielle, Levanti, Rebecca N, Monastero, Mohammadzaman, Zamani, Johannes C, Eichstaedt, Salvatore, Giorgi, H Andrew, Schwartz, Jaymie R, Meliker
Publikováno v:
AJPM focus.
While surveys are a well-established instrument to capture population prevalence of mental health at a moment in time, public Twitter is a continuously available data source that can provide a broader window into population mental health. We characte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e25498ada3bc141bf338293b83b876c5
https://pubmed.ncbi.nlm.nih.gov/36573174
https://pubmed.ncbi.nlm.nih.gov/36573174
Publikováno v:
Proceedings of the ... International World-Wide Web Conference. International WWW Conference
WWW
WWW
Lexical phenomena, such as clusters of words, disseminate through social networks at different rates but most models of diffusion focus on the discrete adoption of new lexical phenomena (i.e. new topics or memes). It is possible much of lexical diffu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd19600ad0cfa9157561aa24f66ab8d1
http://europepmc.org/articles/PMC8211116
http://europepmc.org/articles/PMC8211116
Autor:
Giancarlo Pasquini, Giselle Ferguson, Isabella Bouklas, Huy Vu, Mohammadzaman Zamani, Ruixue Zhaoyang, Karra D. Harrington, Nelson A. Roque, Jacqueline Mogle, H. Andrew Schwartz, Stacey B. Scott
Publikováno v:
PloS one. 17(2)
In March 2020, residents of the Bronx, New York experienced one of the first significant community COVID-19 outbreaks in the United States. Focusing on intensive longitudinal data from 78 Bronx-based older adults, we used a multi-method approach to (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9976fd714d74cc849406d2f50489888
https://pubmed.ncbi.nlm.nih.gov/35196353
https://pubmed.ncbi.nlm.nih.gov/35196353
Publikováno v:
2020 11th International Conference on Information and Knowledge Technology (IKT).
Millions of stories are transferred in a social network and some of them are malicious. Can we identify the source node(s) that are responsible to initiate the propagation originally? If so, when did they initiated the propagation? The problem of ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b4be06952cd64ae49dc99bf5521a25
https://doi.org/10.1109/ikt51791.2020.9345640
https://doi.org/10.1109/ikt51791.2020.9345640
Autor:
Adithya V Ganesan, H. Andrew Schwartz, Sharath Chandra Guntuku, Salvatore Giorgi, Sean A. P. Clouston, Johannes C. Eichstaedt, Mohammadzaman Zamani
Publikováno v:
Proc Conf Empir Methods Nat Lang Process
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9adab6d2eabca77d9bf2da027edc967
https://doi.org/10.18653/v1/2020.nlpcss-1.21
https://doi.org/10.18653/v1/2020.nlpcss-1.21
Autor:
Matthew Matero, Huy Vu, Youngseo Son, H. Andrew Schwartz, Akash Idnani, Parth Limbachiya, Mohammadzaman Zamani, Sharath Chandra Guntuku, Salvatore Giorgi
Publikováno v:
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology.
Mental health predictive systems typically model language as if from a single context (e.g. Twitter posts, status updates, or forum posts) and often limited to a single level of analysis (e.g. either the message-level or user-level). Here, we bring t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3440c7eecf4be6bdc9f9d13b351b2120
https://doi.org/10.18653/v1/w19-3005
https://doi.org/10.18653/v1/w19-3005
Publikováno v:
Intelligent Data Analysis. 20:877-889
With the increasing volume of data in the world, the best approach for learning from this data is to exploit an online learning algorithm. Online ensemble methods are online algorithms which take advantage of an ensemble of classifiers to predict lab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c270bf96cccae8875c94be3456c40a9
https://doi.org/10.3233/ida-160836
https://doi.org/10.3233/ida-160836