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