Embeddings-based detection of word use variation in Italian newspapers

We study how words are used differently in two Italian newspapers at opposite ends of the political spectrum by training embeddings on one newspaper’s corpus, updating the weights on the second one, and observing vector shifts. We run two types of analysis, one top-down, based on a preselection of f...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Michele Cafagna, Lorenzo De Mattei, Malvina Nissim
Format: article
Langue:EN
Publié: Accademia University Press 2020
Sujets:
H
Accès en ligne:https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!