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

Theme Issue: Medical Informatics and COVID-19 (103) Data Science (223) JMIR Theme Issue: COVID-19 Special Issue (2388) Big Data (215) Natural Language Processing (636) Ontologies, Classifications, and Coding (223) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1481)

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
Article Authors Cited by (1) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.