Analysis of Semantic Shift before and after COVID-19 in Spanish Diachronic Word Embeddings
48th Latin American Computing Conference, CLEI 2022
; 2022.
Article
in Spanish
| Scopus | ID: covidwho-2191690
ABSTRACT
Words can shift their meaning across time. This case study shows the results obtained by the exploratory analysis of the semantic shifting on Spanish vocabulary using Diachronic Words Embeddings. Diachronic data consists of a 2018 Spanish corpus, before the COVID-19 outbreak, and a second corpus with documents from 2021. We focused on the semantic shift of three of the topics COVID-19, masks and vaccines. This paper addresses the construction of the diachronic Spanish word embeddings model, as well as the results obtained by the analysis using a non-supervised distance vector technique. The results allowed to identify shifts related to increase in COVID-19 content. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
Spanish
Journal:
48th Latin American Computing Conference, CLEI 2022
Year:
2022
Document Type:
Article
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