Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Svitlana Volkova"'
Publikováno v:
East European Journal of Psycholinguistics (2023)
This paper focuses on the indirect means of verbalising the phenomenon of pessimism in the texts of literary fairy tales from the point of view of linguosemiotics. The study aims to identify the linguistic and semiotic means that create the pessimist
Externí odkaz:
https://doaj.org/article/9a273023d8134ea9b06ed941cefa6201
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Many authoritarian regimes have taken to censoring internet access in order to stop the spread of misinformation, restrict citizens from discussing certain topics, and prevent mobilization, among other reasons. There are several theories abo
Externí odkaz:
https://doaj.org/article/4855ac44080e47df8bc2e8c10c1f3e06
Autor:
Prasha Shrestha, Arun Sathanur, Suraj Maharjan, Emily Saldanha, Dustin Arendt, Svitlana Volkova
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0230250 (2020)
The awareness about software vulnerabilities is crucial to ensure effective cybersecurity practices, the development of high-quality software, and, ultimately, national security. This awareness can be better understood by studying the spread, structu
Externí odkaz:
https://doaj.org/article/3fb2e2d222ee4d10bdeaccfa51eccea4
Uncovering the relationships between military community health and affects expressed in social media
Publikováno v:
EPJ Data Science, Vol 6, Iss 1, Pp 1-23 (2017)
Abstract Military populations present a small, unique community whose mental and physical health impacts the security of the nation. Recent literature has explored social media’s ability to enhance disease surveillance and characterize distinct com
Externí odkaz:
https://doaj.org/article/057872c0e24345d780b77af482c645e1
Publikováno v:
PLoS ONE, Vol 12, Iss 12, p e0188941 (2017)
This work is the first to take advantage of recurrent neural networks to predict influenza-like illness (ILI) dynamics from various linguistic signals extracted from social media data. Unlike other approaches that rely on timeseries analysis of histo
Externí odkaz:
https://doaj.org/article/422b930cb3f34317aaaaa4d15ca834c1
Publikováno v:
PLoS ONE, Vol 10, Iss 9, p e0138717 (2015)
Automatically inferring user demographics from social media posts is useful for both social science research and a range of downstream applications in marketing and politics. We present the first extensive study where user behaviour on Twitter is use
Externí odkaz:
https://doaj.org/article/7ca1c46236294549999ee166396315f4
Autor:
Svitlana Volkova
Publikováno v:
Scientific journal of Khortytsia National Academy. :39-46
The study of the discipline provides for the formation of students' competencies: readiness for physical and mental self-development; the ability to independently analyze the state of health; the ability to make responsible decisions; the ability to
Autor:
Maria Glenski, Ellyn Ayton, Sannisth Soni, Emily Saldanha, Dustin Arendt, Brian Quiter, Ren Cooper, Svitlana Volkova
Publikováno v:
IEEE Transactions on Nuclear Science. 69:1375-1384
Autor:
Svitlana Volkova
Publikováno v:
"Scientific notes of V. I. Vernadsky Taurida National University", Series: "Philology. Journalism". 1:100-104
Autor:
Sinan Aksoy, Brett Jefferson, Ellyn Ayton, Svitlana Volkova, Dustin Arendt, Karthnik Shrivaram, Joseph Cottam, Emily Saldanha, Maria Glenski
Publikováno v:
Computational and Mathematical Organization Theory. 29:220-241
Ground Truth program was designed to evaluate social science modeling approaches using simulation test beds with ground truth intentionally and systematically embedded to understand and model complex Human Domain systems and their dynamics Lazer et a