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
Materias:	Social Sciences H Computational linguistics. Natural language processing P98-98.5
Acceso en línea:	https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c
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spelling	oai:doaj.org-article:1c1d181040114638a9dbaaffc724a82c2021-12-02T09:52:20ZEmbeddings-based detection of word use variation in Italian newspapers2499-455310.4000/ijcol.703https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c2020-12-01T00:00:00Zhttp://journals.openedition.org/ijcol/703https://doaj.org/toc/2499-4553We 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 frequent words in both newspapers, and one bottom-up, on the basis of a combination of the observed shifts and relative and absolute frequency. The analysis is specific to this data, but the method can serve as a blueprint for similar studies.Michele CafagnaLorenzo De MatteiMalvina NissimAccademia University PressarticleSocial SciencesHComputational linguistics. Natural language processingP98-98.5ENIJCoL, Vol 6, Iss 2, Pp 9-22 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Social Sciences H Computational linguistics. Natural language processing P98-98.5
spellingShingle	Social Sciences H Computational linguistics. Natural language processing P98-98.5 Michele Cafagna Lorenzo De Mattei Malvina Nissim Embeddings-based detection of word use variation in Italian newspapers
description	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 frequent words in both newspapers, and one bottom-up, on the basis of a combination of the observed shifts and relative and absolute frequency. The analysis is specific to this data, but the method can serve as a blueprint for similar studies.
format	article
author	Michele Cafagna Lorenzo De Mattei Malvina Nissim
author_facet	Michele Cafagna Lorenzo De Mattei Malvina Nissim
author_sort	Michele Cafagna
title	Embeddings-based detection of word use variation in Italian newspapers
title_short	Embeddings-based detection of word use variation in Italian newspapers
title_full	Embeddings-based detection of word use variation in Italian newspapers
title_fullStr	Embeddings-based detection of word use variation in Italian newspapers
title_full_unstemmed	Embeddings-based detection of word use variation in Italian newspapers
title_sort	embeddings-based detection of word use variation in italian newspapers
publisher	Accademia University Press
publishDate	2020
url	https://doaj.org/article/1c1d181040114638a9dbaaffc724a82c
work_keys_str_mv	AT michelecafagna embeddingsbaseddetectionofwordusevariationinitaliannewspapers AT lorenzodemattei embeddingsbaseddetectionofwordusevariationinitaliannewspapers AT malvinanissim embeddingsbaseddetectionofwordusevariationinitaliannewspapers
_version_	1718397931299536896

Embeddings-based detection of word use variation in Italian newspapers

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