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Text mining on COVID19 datasets - Terminology extraction

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Text mining on COVID19 datasets - Terminology extraction
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45
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CC Attribution 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2021
Production PlaceWageningen

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Abstract
Mathieu Roche, Senior Research Scientist and currently co-leader of the MISCA group (i.e. Spatial Information, Modelling, Data Mining, and Knowledge Extraction) at TETIS (CIRAD - France) presented the results of his latest analysis on how to use terminology and text-mining for event-based surveillance systems (i.e. disease-based and symptom-based surveillance). In this presentation Mathieu discussed the use of different datasets related to COVID-19, e.g. scientific publications, news data (PADI-web, MedISys), social media data (Twitter). The extracted terminology has been used (i) for surveillance systems (i.e. web crawling and information extraction tasks) and (ii) for spatio-temporal analysis of tweets dealing with COVID-19.
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