research product . Other ORP type . 2021

Spanish COVID-19 Twitter Embeddings in FastText

Miranda-Escalada, Antonio; Aguero, Marvin; Krallinger, Martin;
Open Access Spanish
  • Published: 19 Jan 2021
  • Publisher: Zenodo
Abstract
<strong>Intro</strong> 300-dimensional FastText embeddings generated from 140 million tweets in Spanish. All tweets are COVID19-related, meaning that they include one or more keywords related to COVID-19 and lockdown. <strong>Please, cite:</strong> Miranda-Escalada, A., Farré-Maduell, E., Lima-López, S., Gascó, L., Briva-Iglesias, V., Agüero-Torales, M., &amp; Krallinger, M. (2021, June). The profner shared task on automatic recognition of occupation mentions in social media: systems, evaluation, guidelines, embeddings and corpora. In <em>Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop and Shared Task</em> (pp. 13-20). <pre><code>@inpr...
Subjects
free text keywords: Word Embeddings, NLP, COVID-19, Social Media, Embedding, Natural Language Processing, coronavirus, profner, fasttext
Communities
COVID-19
Digital Humanities and Cultural Heritage
Download fromView all 2 versions
Zenodo
Other ORP type . 2021
Provider: Datacite
Zenodo
Other ORP type . 2021
Provider: Datacite
Any information missing or wrong?Report an Issue