This paper is in the following e-collection/theme issue:

Theme Issue: Medical Informatics and COVID-19 (107) Data Science (278) JMIR Theme Issue: COVID-19 Special Issue (2461) Big Data (245) Natural Language Processing (706) Ontologies, Classifications, and Coding (243) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21679, first published .
Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation

Authors of this article:

Soham Parikh1 Author Orcid Image ;   Anahita Davoudi2 Author Orcid Image ;   Shun Yu3 Author Orcid Image ;   Carolina Giraldo4 Author Orcid Image ;   Emily Schriver5 Author Orcid Image ;   Danielle Mowery6 Author Orcid Image
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