Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Nirmalya, Thakur"'
Publikováno v:
Computation, Vol 12, Iss 6, p 118 (2024)
The work presented in this paper makes multiple scientific contributions related to the investigation of the global fear associated with COVID-19 by performing a comprehensive analysis of a dataset comprising survey responses of participants from 40
Externí odkaz:
https://doaj.org/article/60e7dd030a124c95b954d73987b2dd9a
Autor:
Nirmalya Thakur
Publikováno v:
Infectious Disease Reports, Vol 14, Iss 6, Pp 855-883 (2022)
The mining of Tweets to develop datasets on recent issues, global challenges, pandemics, virus outbreaks, emerging technologies, and trending matters has been of significant interest to the scientific community in the recent past, as such datasets se
Externí odkaz:
https://doaj.org/article/911b817bb63844bba103ecbe463448cc
Publikováno v:
Computation, Vol 12, Iss 2, p 28 (2024)
The work presented in this paper makes multiple scientific contributions with a specific focus on the analysis of misinformation about COVID-19 on YouTube. First, the results of topic modeling performed on the video descriptions of YouTube videos con
Externí odkaz:
https://doaj.org/article/d6c5defb8fd44ddda5da7fa8b17e8400
Autor:
Nirmalya Thakur, Shuqi Cui, Kesha A. Patel, Nazif Azizi, Victoria Knieling, Changhee Han, Audrey Poon, Rishika Shah
Publikováno v:
Computation, Vol 11, Iss 11, p 234 (2023)
During virus outbreaks in the recent past, web behavior mining, modeling, and analysis have served as means to examine, explore, interpret, assess, and forecast the worldwide perception, readiness, reactions, and response linked to these virus outbre
Externí odkaz:
https://doaj.org/article/af1ca3eba13a46ccb846b130d72789af
Autor:
Nirmalya Thakur, Shuqi Cui, Karam Khanna, Victoria Knieling, Yuvraj Nihal Duggal, Mingchen Shao
Publikováno v:
Computers, Vol 12, Iss 11, p 221 (2023)
This paper presents several novel findings from a comprehensive analysis of about 50,000 Tweets about online learning during COVID-19, posted on Twitter between 9 November 2021 and 13 July 2022. First, the results of sentiment analysis from VADER, Af
Externí odkaz:
https://doaj.org/article/ed8b65df5e274ff68b5f65b5bc3d98cc
Publikováno v:
Data, Vol 8, Iss 11, p 163 (2023)
The World Health Organization (WHO) added Disease X to their shortlist of blueprint priority diseases to represent a hypothetical, unknown pathogen that could cause a future epidemic. During different virus outbreaks of the past, such as COVID-19, In
Externí odkaz:
https://doaj.org/article/6cf8145d9b694a9f8735f39d3c5e5fef
Publikováno v:
Future Internet, Vol 15, Iss 10, p 346 (2023)
Exoskeletons have emerged as a vital technology in the last decade and a half, with diverse use cases in different domains. Even though several works related to the analysis of Tweets about emerging technologies exist, none of those works have focuse
Externí odkaz:
https://doaj.org/article/bbee9db5bbc34e5f86b2b69d4008b8ee
Autor:
Nirmalya Thakur
Publikováno v:
Applied System Innovation, Vol 6, Iss 5, p 92 (2023)
This paper presents multiple novel findings from a comprehensive analysis of a dataset comprising 1,244,051 Tweets about Long COVID, posted on Twitter between 25 May 2020 and 31 January 2023. First, the analysis shows that the average number of Tweet
Externí odkaz:
https://doaj.org/article/857619041351436fac734b3bb19d3f4e
Publikováno v:
Computers, Vol 12, Iss 10, p 191 (2023)
In the last decade and a half, the world has experienced outbreaks of a range of viruses such as COVID-19, H1N1, flu, Ebola, Zika virus, Middle East Respiratory Syndrome (MERS), measles, and West Nile virus, just to name a few. During these virus out
Externí odkaz:
https://doaj.org/article/3b12058ece87420c91a86525131e4cd5
Autor:
Nirmalya Thakur
Publikováno v:
Information, Vol 14, Iss 9, p 484 (2023)
Social media platforms are a type of web-based applications that are built on the conceptual and technical underpinnings of Web 2 [...]
Externí odkaz:
https://doaj.org/article/5cdab1ab379444f2ad3d8a180d070a60