Temps de lecture : 2 minutes
Informations pratiques
Localisation : Room A104 - Campus Lettres et Sciences Humaines
23 boulevard Albert 1er
BP 60446
Nancy
Date de début : 08/09/2020 08:45 Date de fin : 08/09/2020 12:00
Toutes les dates
- 08/09/2020 – 08:45 – 12:00
— French version —
Matinée d’étude sur les corpus issus des réseaux sociaux
Objectif : présentations et échanges autour de travaux sur des corpus issus des réseaux sociaux.
Langue : Anglaise
Des doctorantes et doctorants de la communauté OLKi (Open Language and Knowledge for citizens) présenteront leur travaux :
Tomara GOTKOVA (ATILF) – Using the social networks Twitter and Reddit as a reference corpus for exploring lay people communication on environmental issues Nicolas DANTE (IECL) – Persistence of information on social networks Marie TOMASZEWSKI (CREM) – The issues raised by data gathering on Twitter due to the opacity of its moderation Tulika BOSE (LORIA) – Topic modeling and detection of online hate speech Ashwin Geet D’SA (LORIA) – Classification of hate speech using deep neural networks
Participation dans la limite des places disponibles. Merci de manifester votre intérêt auprès d’Aurore Coince, Projet Manager (
aurore.coince@univ-lorraine.fr)
avant le 6 sept 2020.
— English version —
Study session on social networks corpora
Main goal: allow scientists working on data from social networks to interact, to exchange about their challenges and to share their good practices.
Language : English
Ph.D students will present their work:
Tomara GOTKOVA (ATILF) – Using the social networks Twitter and Reddit as a reference corpus for exploring lay people communication on environmental issues Nicolas DANTE (IECL) – Persistence of information on social networks Marie TOMASZEWSKI (CREM) – The issues raised by data gathering on Twitter due to the opacity of its moderation Tulika BOSE (LORIA) – Topic modeling and detection of online hate speech Ashwin Geet D’SA (LORIA) – Classification of hate speech using deep neural networks
