What topics and emotions expressed by glaucoma patients? A sentiment analysis perspective

Sarsam, S.M., Alzahrani, A.I. and Al-Samarraie, H. orcid.org/0000-0002-9861-8989 (2024) What topics and emotions expressed by glaucoma patients? A sentiment analysis perspective. Social Network Analysis and Mining, 14 (1). 155. ISSN 1869-5450

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Item Type: Article
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This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s13278-024-01309-7 .

Keywords: Social media mining, Glaucoma recognition, Machine learning, Decision-making
Dates:
  • Published: 8 August 2024
  • Published (online): 8 August 2024
  • Accepted: 12 July 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 13 Nov 2024 15:47
Last Modified: 13 Nov 2024 15:47
Published Version: https://link.springer.com/article/10.1007/s13278-0...
Status: Published
Publisher: Springer
Identification Number: 10.1007/s13278-024-01309-7
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