Taraftarların Dijital Geri Bildirimleri Yoluyla Kurumsal İtibar: Antalyaspor Üzerine Bir İnceleme.
In this study, the corporate reputation of Antalyaspor is analysed by using artificial intelligence techniques through the comments made by fans on the social media platform X (Twitter). The aim of the study is to reveal how the reputation of football clubs is shaped by fan feedback. The data set co...
| Publicado en: | Journal of Abant Social Sciences / Abant Sosyal Bilimler Dergisi Vol. 25; no. 1; pp. 294 - 306 |
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| Formato: | Artículo |
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Journal of Abant Social Sciences
mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=184857698&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 184857698 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 27579425 N14N jtl: Journal of Abant Social Sciences / Abant Sosyal Bilimler Dergisi issn: 27579425 maglogo: N pubinfo: dt: mar2025 vid: 25 iid: 1 pid: 81378 pub: Journal of Abant Social Sciences artinfo: ui: 184857698 10.11616/asbi.1585791 ppf: 294 ppct: 12 formats: tig: atl: Taraftarların Dijital Geri Bildirimleri Yoluyla Kurumsal İtibar: Antalyaspor Üzerine Bir İnceleme. aug: au: YİĞİT AÇIKGÖZ, Fatma affil: Dr., Fatma Yiğit Açıkgöz, Akdeniz Üniversitesi su: Social media Sentiment analysis Python programming language Corporate image Text mining sug: subj: Social media Sentiment analysis Python programming language Corporate image Text mining keyword: Corporate Reputation Sentiment Analysis Social Media Text Mining Antalyaspor Duygu Analizi Kurumsal İtibar Metin Madenciliği Sosyal Medya Corporate Reputation Sentiment Analysis Social Media Text Mining Antalyaspor Duygu Analizi Kurumsal İtibar Metin Madenciliği Sosyal Medya ab: In this study, the corporate reputation of Antalyaspor is analysed by using artificial intelligence techniques through the comments made by fans on the social media platform X (Twitter). The aim of the study is to reveal how the reputation of football clubs is shaped by fan feedback. The data set consists of 500 tweets about Antalyaspor in June, July, and August 2024. These tweets were subjected to sentiment analysis using the TextBlob library in the Python programming language. Emotions were categorised as positive, negative, and neutral, and the most frequently used words were determined by the text mining method. The findings reflect the fans' general trust in the club management and positive perception of sporting achievements. However, there are also criticisms of certain management decisions and dissatisfaction with transfer policies. The study shows that social media feedback can be an important tool in the reputation management of football clubs. pubtype: Academic Journal doctype: Article src: R language: Turkish refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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