| Title: |
Automated Twitter Extraction and Visual Analytics with Dashboards: Development and First Experimentations. |
| Authors: |
Patel, Haris; Patel, Riyâz; Zitouni, Djamel; Guinhouya, Benjamin; Fruchart, Mathilde; Lamer, Antoine |
| Contributors: |
Université de Lille; CHU Lille; Faculté de Médecine Henri Warembourg - Université de Lille; METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694; Evaluation des technologies de santé et des pratiques médicales - ULR 2694 METRICS |
| Publication Year: |
2023 |
| Collection: |
LillOA (Lille Open Archive - Université de Lille) |
| Description: |
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. ; 294 |
| Document Type: |
article in journal/newspaper |
| File Description: |
application/octet-stream; application/rdf+xml; charset=utf-8; application/pdf |
| Language: |
English |
| Relation: |
Studies in Health Technology and Informatics; Stud Health Technol Inform; http://hdl.handle.net/20.500.12210/90078 |
| Availability: |
https://hdl.handle.net/20.500.12210/90078 |
| Rights: |
Attribution-NonCommercial 3.0 United States ; info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.FB6E2F44 |
| Database: |
BASE |