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

Natural Language Processing (692) Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Disabilities (116)

Published on in Vol 8, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17903, first published .
Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit

Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit

Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit

Authors of this article:

Alejandro Garcia-Rudolph1, 2, 3 Author Orcid Image ;   Joan Saurí1, 2, 3 Author Orcid Image ;   Blanca Cegarra1, 2, 3, 4 Author Orcid Image ;   Montserrat Bernabeu Guitart1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (9) Metrics

Journals

  1. Chang A, Xian X, Liu M, Zhao X. Health Communication through Positive and Solidarity Messages Amid the COVID-19 Pandemic: Automated Content Analysis of Facebook Uses. International Journal of Environmental Research and Public Health 2022;19(10):6159 View
  2. Brewer G, Urwin E, Witham B. Disabled student experiences of Higher Education. Disability & Society 2023:1 View
  3. Cobert J, Mills H, Lee A, Gologorskaya O, Espejo E, Jeon S, Boscardin W, Heintz T, Kennedy C, Ashana D, Chapman A, Raghunathan K, Smith A, Lee S. Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models. CHEST 2024;165(6):1481 View

Books/Policy Documents

  1. Cisek K, Que Nguyen T, Garcia-Rudolph A, Saurí J, Kelleher J. Cerebral Ischemia. View