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NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State
Governments and municipalities need to understand their citizens’ psychological needs in critical times and dangerous situations. COVID-19 brings lots of challenges to deal with. We propose NeedFull, an interactive and scalable tweet analysis platform, to help governments and municipalities to under...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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IEEE
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545340/ https://www.ncbi.nlm.nih.gov/pubmed/34812341 http://dx.doi.org/10.1109/ACCESS.2020.3011123 |
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collection | PubMed |
description | Governments and municipalities need to understand their citizens’ psychological needs in critical times and dangerous situations. COVID-19 brings lots of challenges to deal with. We propose NeedFull, an interactive and scalable tweet analysis platform, to help governments and municipalities to understand residents’ real psychological needs during those periods. The platform mainly consists of four parts: data collection module, data storage module, data analysis module and data visualization module. The four parts interact with each other and provide users with a thorough human needs analysis based on their queries. We employed the proposed platform to investigate the reaction of people in New York State to the ongoing worldwide COVID-19 pandemic. |
format | Online Article Text |
id | pubmed-8545340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | IEEE |
record_format | MEDLINE/PubMed |
spelling | pubmed-85453402021-11-18 NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State IEEE Access Computational and Artificial Intelligence Governments and municipalities need to understand their citizens’ psychological needs in critical times and dangerous situations. COVID-19 brings lots of challenges to deal with. We propose NeedFull, an interactive and scalable tweet analysis platform, to help governments and municipalities to understand residents’ real psychological needs during those periods. The platform mainly consists of four parts: data collection module, data storage module, data analysis module and data visualization module. The four parts interact with each other and provide users with a thorough human needs analysis based on their queries. We employed the proposed platform to investigate the reaction of people in New York State to the ongoing worldwide COVID-19 pandemic. IEEE 2020-07-22 /pmc/articles/PMC8545340/ /pubmed/34812341 http://dx.doi.org/10.1109/ACCESS.2020.3011123 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Computational and Artificial Intelligence NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title | NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title_full | NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title_fullStr | NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title_full_unstemmed | NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title_short | NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State |
title_sort | needfull – a tweet analysis platform to study human needs during the covid-19 pandemic in new york state |
topic | Computational and Artificial Intelligence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545340/ https://www.ncbi.nlm.nih.gov/pubmed/34812341 http://dx.doi.org/10.1109/ACCESS.2020.3011123 |
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