Mining online and social media to analyse epidemic periods
The vocabulary used in media (e.g. news) and social media (e.g. Twitter) on a disease changes according to the period. In this context, text-mining and terminology extraction tasks can be used to analyse epidemic periods of diseases. Moreover, we have to take into account this knowledge in order to improve event-based surveillance (EBS) systems. Text-mining and machine learning approaches can be integrated in different steps of EBS systems for disease-based and symptom-based surveillance: data acquisition, information retrieval (i.e. identification of relevant documents), information extraction (i.e. extraction of symptoms, locations, dates, diseases, hosts, etc.), and visualisation. This work highlights the use of text-mining approaches related to COVID- 19 (i) for surveillance systems (i.e. web crawling and information extraction tasks) and (ii) for spatio-temporal analysis of tweets.
| Main Author: | |
|---|---|
| Format: | conference_item biblioteca |
| Language: | eng |
| Published: |
ISID
|
| Online Access: | http://agritrop.cirad.fr/600509/ http://agritrop.cirad.fr/600509/1/IMED_abstract_Mathieu_Roche.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|