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

Basit Öğe Kaydı
dc.authorid0000-0003-0626-6582en_US
dc.authorid0000-0002-7593-4014en_US
dc.contributor.authorDoğan, Muzaffer Berna
dc.contributor.authorDikeç, Gül
dc.date.accessioned2023-03-03T06:38:32Z
dc.date.available2023-03-03T06:38:32Z
dc.date.issued2022
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.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.54304/SHYD.2022.20053en_US
dc.identifier.urihttps://hdl.handle.net/11411/5003
dc.identifier.urihttps://doi.org/10.54304/SHYD.2022.20053
dc.indekslendigikaynakTR-Dizinen_US
dc.issue2en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors3en_US
dc.pages230 - 238en_US
dc.publisherYÖNETİCİ HEMŞİRELER DERNEĞİen_US
dc.relation.ispartofSağlık ve Hemşirelik Yönetimi Dergisien_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNursingen_US
dc.subjectsocial mediaen_US
dc.subjectartificial intelligenceen_US
dc.subjectnatural language processingen_US
dc.titleA Sentiment Analysis of Turkish Tweets Shared in Nursing Week During the Pandemicen_US
dc.typeArticleen_US
dc.volume9en_US

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