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

JMIR Theme Issue: COVID-19 Special Issue (2452) Natural Language Processing (693) Machine Learning (1465) Knowledge Translation and Implementation Science (398) Information Retrieval (287) Epublishing and Open Access (86) Theme Issue: Medical Informatics and COVID-19 (107) Infectious Diseases (non-STD/STI) (1575)

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
Article Authors Cited by (4) Tweetations (4) Metrics

Zhao-Hua Lu   1 , PhD ;   Jade Xiaoqing Wang   1 , PhD ;   Xintong Li   2 , PhD

1 Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, United States

2 Department of Linguistics, The Ohio State University, Columbus, OH, United States

Corresponding Author:

  • Zhao-Hua Lu, PhD
  • Department of Biostatistics
  • St. Jude Children’s Research Hospital
  • MS 768, Room R6006
  • 262 Danny Thomas Place
  • Memphis, TN, 38105-3678
  • United States
  • Phone: 1 901-595-2714
  • Email: zhaohua.lu@stjude.org