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...

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Autores principales: Michele Cafagna, Lorenzo De Mattei, Malvina Nissim
Formato: article
Lenguaje:EN
Publicado: Accademia University Press 2020
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Acceso en línea:https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c
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