Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study

Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study

10.2196/31366

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Bibliographic Details
Main Authors: Tan, MY, Goh, CE, Tan, HH
Other Authors: DENTISTRY
Format: Article
Published: JMIR Publications Inc. 2022
Subjects:
McGill Pain Questionnaire
artificial intelligence
emotion analytics
pain descriptors
social media
Online Access:https://scholarbank.nus.edu.sg/handle/10635/230977
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Institution: National University of Singapore
id sg-nus-scholar.10635-230977
record_format dspace
spelling sg-nus-scholar.10635-2309772024-11-14T19:21:21Z Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study Tan, MY Goh, CE Tan, HH DENTISTRY Dr Enhui Charlene Goh McGill Pain Questionnaire artificial intelligence emotion analytics pain descriptors social media 10.2196/31366 JMIR Formative Research 5 11 e31366- 2022-09-08T09:51:15Z 2022-09-08T09:51:15Z 2021-11-01 2022-09-08T09:42:35Z Article Tan, MY, Goh, CE, Tan, HH (2021-11-01). Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study. JMIR Formative Research 5 (11) : e31366-. ScholarBank@NUS Repository. https://doi.org/10.2196/31366 2561326X 2561326X https://scholarbank.nus.edu.sg/handle/10635/230977 JMIR Publications Inc. Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic McGill Pain Questionnaire
artificial intelligence
emotion analytics
pain descriptors
social media
spellingShingle McGill Pain Questionnaire
artificial intelligence
emotion analytics
pain descriptors
social media
Tan, MY
Goh, CE
Tan, HH
Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
description 10.2196/31366
author2 DENTISTRY
author_facet DENTISTRY
Tan, MY
Goh, CE
Tan, HH
format Article
author Tan, MY
Goh, CE
Tan, HH
author_sort Tan, MY
title Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
title_short Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
title_full Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
title_fullStr Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
title_full_unstemmed Contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: Cross-sectional study
title_sort contemporary english pain descriptors as detected on social media using artificial intelligence and emotion analytics algorithms: cross-sectional study
publisher JMIR Publications Inc.
publishDate 2022
url https://scholarbank.nus.edu.sg/handle/10635/230977
_version_ 1821226615965745152

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