Skip to Main content Skip to Navigation
New interface
Conference papers

Detecting Facial Emotions to Support Linguistic Analysis of Political Tweets: a Multimodal Approach

Julien Longhi 1, 2, 3 
2 IDHN - Institut des Humanités numériques
ETIS - UMR 8051 - Equipes Traitement de l'Information et Systèmes : UMR 8051, LT2D - Lexiques, Textes, Discours, Dictionnaire - Centre Jean Pruvost : EA 7518, MRTE - EA 4112 - Laboratoire Mobilités, Réseaux, Territoires, Environnements : EA 4112, AGORA - EA 7392 - Laboratoire AGORA : EA 7392
Document type :
Conference papers
Complete list of metadata

https://hal.archives-ouvertes.fr/hal-03405088
Contributor : Julien Longhi Connect in order to contact the contributor
Submitted on : Wednesday, October 27, 2021 - 8:52:03 AM
Last modification on : Friday, August 5, 2022 - 2:46:00 PM
Long-term archiving on: : Friday, January 28, 2022 - 6:21:02 PM

File

Proceedings CMC-Corpora 2021 L...
Publisher files allowed on an open archive

Identifiers

  • HAL Id : hal-03405088, version 1

Citation

Julien Longhi. Detecting Facial Emotions to Support Linguistic Analysis of Political Tweets: a Multimodal Approach. 8th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora (CMC-Corpora 2021), Oct 2021, Nijmegen, Netherlands. ⟨hal-03405088⟩

Share

Metrics

Record views

50

Files downloads

31