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...
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9146130/ |
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doaj-534c107022364e03aa6450c72ddddebb2021-03-30T04:39:48ZengIEEEIEEE Access2169-35362020-01-01813604613605510.1109/ACCESS.2020.30111239146130NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York StateZijian Long0https://orcid.org/0000-0002-5907-1271Rajwa Alharthi1https://orcid.org/0000-0002-8992-6250Abdulmotaleb El Saddik2https://orcid.org/0000-0002-7690-8547Multimedia Communications Research Laboratory, University of Ottawa, Ottawa, ON, CanadaMultimedia Communications Research Laboratory, University of Ottawa, Ottawa, ON, CanadaMultimedia Communications Research Laboratory, University of Ottawa, Ottawa, ON, CanadaGovernments 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.https://ieeexplore.ieee.org/document/9146130/Human needs analysis platformsocial mediahuman needs detectionsmart citymachine learningbig data |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Zijian Long Rajwa Alharthi Abdulmotaleb El Saddik |
| spellingShingle |
Zijian Long Rajwa Alharthi Abdulmotaleb El Saddik NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State IEEE Access Human needs analysis platform social media human needs detection smart city machine learning big data |
| author_facet |
Zijian Long Rajwa Alharthi Abdulmotaleb El Saddik |
| author_sort |
Zijian Long |
| title |
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_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_sort |
needfull – a tweet analysis platform to study human needs during the covid-19 pandemic in new york state |
| publisher |
IEEE |
| series |
IEEE Access |
| issn |
2169-3536 |
| publishDate |
2020-01-01 |
| 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. |
| topic |
Human needs analysis platform social media human needs detection smart city machine learning big data |
| url |
https://ieeexplore.ieee.org/document/9146130/ |
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