Automated Twitter Extraction and Visual ...
Document type :
Article dans une revue scientifique: Article original
DOI :
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Title :
Automated Twitter Extraction and Visual Analytics with Dashboards: Development and First Experimentations.
Author(s) :
Patel, Haris [Auteur]
Faculté de Médecine Henri Warembourg - Université de Lille
Patel, Riyâz [Auteur]
Faculté de Médecine Henri Warembourg - Université de Lille
Zitouni, Djamel [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Guinhouya, Benjamin [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Fruchart, Mathilde [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Lamer, Antoine [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Faculté de Médecine Henri Warembourg - Université de Lille
Patel, Riyâz [Auteur]
Faculté de Médecine Henri Warembourg - Université de Lille
Zitouni, Djamel [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Guinhouya, Benjamin [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Fruchart, Mathilde [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Lamer, Antoine [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Journal title :
Studies in Health Technology and Informatics
Abbreviated title :
Stud Health Technol Inform
Volume number :
294
Pages :
705-706
Publication date :
2022-05-27
ISSN :
1879-8365
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Information found in the social media may help to set up infoveillance
and track epidemics, identify high-risk behaviours, or assess trends or feelings
about a subject or event. We developed a dashboard to enable novice ...
Show more >Information found in the social media may help to set up infoveillance and track epidemics, identify high-risk behaviours, or assess trends or feelings about a subject or event. We developed a dashboard to enable novice users to easily and autonomously extract and analyze data from Twitter. Eleven users tested the dashboard and considered the tool to be highly usable and useful. They were able to conduct the research they wanted and appreciated being able to use this tool without having to program.Show less >
Show more >Information found in the social media may help to set up infoveillance and track epidemics, identify high-risk behaviours, or assess trends or feelings about a subject or event. We developed a dashboard to enable novice users to easily and autonomously extract and analyze data from Twitter. Eleven users tested the dashboard and considered the tool to be highly usable and useful. They were able to conduct the research they wanted and appreciated being able to use this tool without having to program.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T04:05:14Z
2023-12-08T12:21:21Z
2023-12-08T12:21:21Z
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