NeedFull – a Tweet Analysis Platform to Study Human Needs During the COVID-19 Pandemic in New York State
Zijian Long, Rajwa Alharthi, Abdulmotaleb El Saddik
IEEE Access · 2020
doi:10.1109/access.2020.3011123 (opens in a new tab)
We email you when a new notice or a question about this paper appears.
Abstract
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.
Abstract licence: CC BY-NC-ND
References21
21 more references, whose wording the paper’s licence keeps private.
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.