A Mixed Approach for Aggressive Political Discourse Analysis on Twitter.

Aggressive discourse Content analysis Mixed methods Natural language processing Sentiment analysis Twitter

Journal

Cognitive computation
ISSN: 1866-9956
Titre abrégé: Cognit Comput
Pays: United States
ID NLM: 101499358

Informations de publication

Date de publication:
2023
Historique:
received: 27 04 2022
accepted: 19 07 2022
medline: 24 8 2022
pubmed: 24 8 2022
entrez: 23 8 2022
Statut: ppublish

Résumé

Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political

Identifiants

pubmed: 35996741
doi: 10.1007/s12559-022-10048-w
pii: 10048
pmc: PMC9385242
doi:

Types de publication

Journal Article

Langues

eng

Pagination

440-465

Informations de copyright

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Déclaration de conflit d'intérêts

Conflict of InterestThe author declares no competing interests.

Auteurs

Javier Torregrosa (J)

Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.

Sergio D'Antonio-Maceiras (S)

Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.

Guillermo Villar-Rodríguez (G)

Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.

Amir Hussain (A)

School of Computing, Edinburgh Napier University, Scotland, UK.

Erik Cambria (E)

School of Computer Science and Engineering, Nanyang Technological University, Jurong West, Singapore.

David Camacho (D)

Departamento de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain.

Classifications MeSH