Descripción:
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.
Tipo de publicación: Conference Paper
Publicado en: 2022 XVLIII Latin American Computer Conference (CLEI)
Autores- Betancourt, Esteban Rodríguez
- Murillo, Edgar Casasola
Investigadores del CITIC asociados a la publicación
Dr. Edgar Casasola Murillo
Proyecto asociado a la publicación