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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Bibliographic Details
Main Authors: Michele Cafagna, Lorenzo De Mattei, Malvina Nissim
Format: article
Language:EN
Published: Accademia University Press 2020
Subjects:
H
Online Access:https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c
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