COVID-19 Twitter Word2Vec Model

Published: 30 May 2020| Version 1 | DOI: 10.17632/t8bxg423yk.1
Contributor:
Abeed Sarker

Description

This is a small Word2Vec Model n-gram (n= 1-3) built from Twitter chatter about COVID-19. The objective of this model is to capture semantic representations of COVID-19-related concepts. We will be updating this dataset over time. Please see the following script if you are having difficulty loading the model: https://bitbucket.org/asarker/lexexp

Files

Steps to reproduce

TBA

Institutions

Emory University

Categories

Artificial Intelligence, Health Informatics, Social Media, Natural Language Processing, Machine Learning, Text Mining, COVID-19

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