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.
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ФАО АГРИС — международная информационная система по сельскохозяйственным наукам и технологиям
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Издатель
SVEPM
Язык
Английский
Формат
text
Лицензия
Cirad license, info:eu-repo/semantics/openAccess, https://agritrop.cirad.fr/mention_legale.html
Тип
Conference Object; Conference Part; Conference Part; Conference Paper; Conference Part; Conference Proceedings
Источник
Extraction of medical terms from non-structured (textual) data from online news and social media
2025-07-17
2026-02-03
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