A sentiment analysis of Turkish tweets shared in nursing week during the pandemic

Basit Öğe Kaydı
dc.authoridVolkan Oban / 0000-0001-9541-7025en_US
dc.authorscopusidVolkan Oban / 58082138500
dc.authorwosidVolkan Oban / GQZ-0647-2022en_US
dc.contributor.authorOban, Volkan
dc.contributor.authorDoğan, Muzaffer Berna
dc.contributor.authorDikeç, Gül
dc.date.accessioned2022-12-08T11:05:39Z
dc.date.available2022-12-08T11:05:39Z
dc.date.issued2022en_US
dc.departmentİstinye Üniversitesi, Güzel Sanatlar, Tasarım ve Mimarlık Fakültesi, Dijital Oyun Tasarımı Bölümüen_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.en_US
dc.identifier.citationOban, V& Dogan, M.B & Dikec,G (2022).A sentiment analysis of Turkish tweets shared in nursing week during the pandemic . Sağlık ve Hemşirelik Yönetimi Dergisi2(9), 159-164.en_US
dc.identifier.doi10.54304/SHYD.2022.20053en_US
dc.identifier.endpage238en_US
dc.identifier.issn2149-018Xen_US
dc.identifier.issue2en_US
dc.identifier.startpage230en_US
dc.identifier.trdizinid1124842en_US
dc.identifier.urihttp://dx.doi.org/10.54304/SHYD.2022.20053
dc.identifier.urihttps://hdl.handle.net/20.500.12713/3444
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.institutionauthorOban, Volkan
dc.language.isoenen_US
dc.relation.ispartofSağlık ve Hemşirelik Yönetimi Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNursingen_US
dc.subjectSocial Mediaen_US
dc.subjectArtificial İntelligenceen_US
dc.subjectNatural Language Processingen_US
dc.titleA sentiment analysis of Turkish tweets shared in nursing week during the pandemicen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
document (1).pdf
Boyut:
795.56 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir
Lisans paketi
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
license.txt
Boyut:
1.44 KB
Biçim:
Item-specific license agreed upon to submission
Açıklama:
İndir

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu
Dijital Oyun Tasarımı Bölümü Makale Koleksiyonu