Classification and animal disease surveillance systems

Roche Mathieu. 2021. Classification and animal disease surveillance systems. In : Extraction of medical terms from non-structured (textual) data from online news and social media. s.l. : SVEPM, Résumé, 1 p. SVEPM 2021 - Workshop 5, s.l., 24 Mars 2021/24 Mars 2021.

Url - jeu de données - Dataverse Cirad : https://doi.org/10.18167/DVN1/POIZMA

Matériel d'accompagnement : 1 diaporama (62 vues)

Note générale : Le congrès s'est tenu en ligne

Résumé : In the context of this workshop, 3 talks will be done. First, we will present an overview of NLP (Natural Language Processing) approaches in order to mine textual data [PART 1]. The second part will present two NLP tasks dedicated to Health domain: (i) acquisition of tweets, (ii) terminology extraction in (social) media [PART 2]. The last part of this workshop is dedicated to textual classification issues based on machine learning techniques with Weka [PART 3]. A part of this presentation will use a public dataset: https://dataverse.cirad.fr/dataset.xhtml?persistentId=doi:10.18167/DVN1/POIZMA.

Mots-clés libres : Text Mining, Information Retrieval, Health Surveillance

Auteurs et affiliations

• Roche Mathieu, CIRAD-ES-UMR TETIS (FRA) ORCID: 0000-0003-3272-8568

Source : Cirad-Agritrop (https://agritrop.cirad.fr/597999/)

Métriques

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