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CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions
General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question answering should be able to recognize the need for social...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224974/ https://www.ncbi.nlm.nih.gov/pubmed/37244917 http://dx.doi.org/10.1038/s41597-023-02203-1 |
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author | Alasmari, Ashwag Kudryashov, Luke Yadav, Shweta Lee, Heera Demner-Fushman, Dina |
author_facet | Alasmari, Ashwag Kudryashov, Luke Yadav, Shweta Lee, Heera Demner-Fushman, Dina |
author_sort | Alasmari, Ashwag |
collection | PubMed |
description | General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question answering should be able to recognize the need for social and emotional support. Recently, large scale datasets have addressed the issue of medical question answering and highlighted the challenges associated with question classification from the standpoint of informational needs. However, there is a lack of annotated datasets for the non-informational needs. We introduce a new dataset for non-informational support needs, called CHQ-SocioEmo. The Dataset of Consumer Health Questions was collected from a community question answering forum and annotated with basic emotions and social support needs. This is the first publicly available resource for understanding non-informational support needs in consumer health-related questions online. We benchmark the corpus against multiple state-of-the-art classification models to demonstrate the dataset’s effectiveness. |
format | Online Article Text |
id | pubmed-10224974 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102249742023-05-29 CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions Alasmari, Ashwag Kudryashov, Luke Yadav, Shweta Lee, Heera Demner-Fushman, Dina Sci Data Data Descriptor General public, often called consumers, are increasingly seeking health information online. To be satisfactory, answers to health-related questions often have to go beyond informational needs. Automated approaches to consumer health question answering should be able to recognize the need for social and emotional support. Recently, large scale datasets have addressed the issue of medical question answering and highlighted the challenges associated with question classification from the standpoint of informational needs. However, there is a lack of annotated datasets for the non-informational needs. We introduce a new dataset for non-informational support needs, called CHQ-SocioEmo. The Dataset of Consumer Health Questions was collected from a community question answering forum and annotated with basic emotions and social support needs. This is the first publicly available resource for understanding non-informational support needs in consumer health-related questions online. We benchmark the corpus against multiple state-of-the-art classification models to demonstrate the dataset’s effectiveness. Nature Publishing Group UK 2023-05-27 /pmc/articles/PMC10224974/ /pubmed/37244917 http://dx.doi.org/10.1038/s41597-023-02203-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Alasmari, Ashwag Kudryashov, Luke Yadav, Shweta Lee, Heera Demner-Fushman, Dina CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title | CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title_full | CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title_fullStr | CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title_full_unstemmed | CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title_short | CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions |
title_sort | chq- socioemo: identifying social and emotional support needs in consumer-health questions |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10224974/ https://www.ncbi.nlm.nih.gov/pubmed/37244917 http://dx.doi.org/10.1038/s41597-023-02203-1 |
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