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

JMIR Theme Issue: COVID-19 Special Issue (2490) Natural Language Processing (791) Machine Learning (1694) Knowledge Translation and Implementation Science (437) Information Retrieval (322) Epublishing and Open Access (95) Theme Issue: Medical Informatics and COVID-19 (117) Infectious Diseases (non-STD/STI) (1653)

Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22860, first published .
Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Model: Model Development Study

Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Model: Model Development Study

Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Model: Model Development Study

Authors of this article:

Zhao-Hua Lu1 Author Orcid Image ;   Jade Xiaoqing Wang1 Author Orcid Image ;   Xintong Li2 Author Orcid Image
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Sven Awege Sven Awege @SVENNIECO

Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answering Mod… https://t.co/ZwFTAAhRak

2:32 PM · Mar 19, 2021

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JMIR Publications JMIR Publications @jmirpub

New in JMIR: Revealing Opinions for #COVID19 #coronavirus Questions Using a Context Retriever, Opinion Aggregator,… https://t.co/9mHYIRZyNJ

2:38 PM · Mar 19, 2021

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doctick doctick @doctick

#NLP "Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-Answeri… https://t.co/pBH0DAvPtt

7:22 PM · Mar 19, 2021

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Paperbirds_Coronavirus Paperbirds_Coronavirus @PaperbirdsH

New article: Revealing Opinions for COVID-19 Questions Using a Context Retriever, Opinion Aggregator, and Question-… https://t.co/5wnhxIjGzS

9:09 PM · Mar 19, 2021

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