Search
 
loader loading subjects...
cover
Automated Twitter Extraction and Visual Analytics with Dashboards: Development and First Experimentations
Haris Patel, Riyâz Patel, Djamel Zitouni, Benjamin Guinhouya, Mathilde Fruchart, Antoine Lamer
705 - 706
10.3233/SHTI220562
Research Article
Studies in Health Technology and Informatics
Volume 294: Challenges of Trustable AI and Added-Value on Health
Abstract

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.

Download
Creative Commons License