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

Theme issue 2019: Health Natural Language Processing (17) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1553) Natural Language Processing (637) Ontologies, Classifications, and Coding (224) Depression and Mood Disorders; Suicide Prevention (1272)

Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17650, first published .
Automatic Construction of a Depression-Domain Lexicon Based on Microblogs: Text Mining Study

Automatic Construction of a Depression-Domain Lexicon Based on Microblogs: Text Mining Study

Automatic Construction of a Depression-Domain Lexicon Based on Microblogs: Text Mining Study

Authors of this article:

Genghao Li1 Author Orcid Image ;   Bing Li1 Author Orcid Image ;   Langlin Huang1 Author Orcid Image ;   Sibing Hou2 Author Orcid Image
Article Authors Cited by (18) Tweetations (1) Metrics

Genghao Li   1 , MSF ;   Bing Li   1 , PhD ;   Langlin Huang   1 , BM ;   Sibing Hou   2 , MAFN

1 School of Information Technology & Management, University of International Business and Economics, Beijing, China

2 Graduate School of Art and Science, Columbia University, New York, NY, United States

Corresponding Author:

  • Bing Li, PhD
  • School of Information Technology & Management
  • University of International Business and Economics
  • Chaoyang District, Huixin East Street
  • Beijing, 100029
  • China
  • Phone: 86 1-343-978-8086
  • Email: 01630@uibe.edu.cn