Výsledky vyhledávání - "Purushothaman, Vidya"

Akademický článek

Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram

Autor: Mackey, Tim Ken, Li, Jiawei, Purushothaman, Vidya, Nali, Matthew, Shah, Neal, Bardier, Cortni, Cai, Mingxiang, Liang, Bryan

Publikováno v: JMIR Public Health and Surveillance, Vol 6, Iss 3, p e20794 (2020)

BackgroundThe coronavirus disease (COVID-19) pandemic is perhaps the greatest global health challenge of the last century. Accompanying this pandemic is a parallel “infodemic,” including the online marketing and sale of unapproved, illegal, and c

Externí odkaz: https://doaj.org/article/5e5f92db65354a64bc5787e2d63a018b

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Akademický článek

Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study

Autor: Mackey, Tim, Purushothaman, Vidya, Li, Jiawei, Shah, Neal, Nali, Matthew, Bardier, Cortni, Liang, Bryan, Cai, Mingxiang, Cuomo, Raphael

Publikováno v: JMIR Public Health and Surveillance, Vol 6, Iss 2, p e19509 (2020)

BackgroundThe coronavirus disease (COVID-19) pandemic is a global health emergency with over 6 million cases worldwide as of the beginning of June 2020. The pandemic is historic in scope and precedent given its emergence in an increasingly digital er

Externí odkaz: https://doaj.org/article/ea7b5cc0074c40ddb199bbed439050c8

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Akademický článek

Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study

Autor: Li, Jiawei, Xu, Qing, Cuomo, Raphael, Purushothaman, Vidya, Mackey, Tim

Publikováno v: JMIR Public Health and Surveillance, Vol 6, Iss 2, p e18700 (2020)

BackgroundThe coronavirus disease (COVID-19) pandemic, which began in Wuhan, China in December 2019, is rapidly spreading worldwide with over 1.9 million cases as of mid-April 2020. Infoveillance approaches using social media can help characterize di

Externí odkaz: https://doaj.org/article/b1ed69b8e61846be940f8770d5de596e

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