A Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemic

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dc.authorscopusid57215683950
dc.authorscopusid58082138500
dc.authorscopusid57056407400
dc.contributor.authorDoğan, M.B.
dc.contributor.authorOban, V.
dc.contributor.authorDikeç, G.
dc.date.accessioned2025-04-11T19:31:06Z
dc.date.available2025-04-11T19:31:06Z
dc.date.issued2022
dc.departmentFenerbahçe Universityen_US
dc.department-tempDoğan M.B., Arel University, Faculty of Health Sciences, Department of Nursing, Istanbul, Türkiye; Oban V., Istinye University, Faculty of Fine Arts, Design and Architecture, Department of Digital Game Design, Istanbul, Türkiye; Dikeç G., Fenerbahce University, Faculty of Health Sciences, Department of Nursing, Istanbul, Türkiyeen_US
dc.description.abstractAim: This study aimed to conduct an artificial intelligence-based sentiment analysis of Turkish tweets about nursing during the nursing week during the COVID-19 pandemic. Method: This is a retrospective descriptive survey. Between May 4 and May 19, 2021, Turkish tweets were analyzed using the Python library Tweepy. The search terms “nurse, nursing, and nursing week” were used to analyzed tweets for their positivity, neutrality, or negativity. Results: The analysis of 24,944 tweets revealed that tweets frequently express neutral emotions. The negative tweets frequently discussed issues such as societal gender perception, professionalism, burnout during the pandemic, salaries, inadequate nursing workforce, inequalities, violence against healthcare professionals, and the deaths of nurses. Conclusions: Social media applications can be recommended as important tools for raising awareness of the nursing profession identity, professionalism, visibility, and the perception of society towards nursing, nursing problems, and recommendations for solutions. © 2022 The Authors. Published by Association of Nurse Managers.en_US
dc.description.sponsorshipUK Research and Innovation, UKRI, (103637)en_US
dc.identifier.doi10.54304/SHYD.2022.20053
dc.identifier.endpage238en_US
dc.identifier.issn2149-018X
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85169469048
dc.identifier.scopusqualityN/A
dc.identifier.startpage230en_US
dc.identifier.urihttps://doi.org/10.54304/SHYD.2022.20053
dc.identifier.urihttps://hdl.handle.net/20.500.14627/907
dc.identifier.volume9en_US
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherAssociation of Executive Nursesen_US
dc.relation.ispartofJournal of Health and Nursing Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectNatural Language Processingen_US
dc.subjectNursingen_US
dc.subjectSocial Mediaen_US
dc.titleA Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemicen_US
dc.typeArticleen_US
dspace.entity.typePublication

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