Tiny House Otellere Yönelik Müşteri Yorumlarının Yapay Zekâ ile Kurumsal İtibar Analizi

Öz

Bu çalışma, Türkiye’de faaliyet gösteren altı farklı Tiny House otelin kurumsal itibarını çevrimiçi müşteri yorumları üzerinden analiz etmektedir. Veriler OtelPuan platformundan elde edilmiş, otel isimleri gizlenerek TH1–TH6 şeklinde kodlanmıştır. Araştırmada TextBlob kütüphanesi kullanılarak duygu analizi yapılmış ve yorumlar olumlu, olumsuz ve nötr kategorilere ayrılmıştır. Bulgular, tüm otellerde olumlu yorumların baskın olduğunu, olumsuz yorumların ise sınırlı kaldığını göstermektedir. Özellikle TH3 oteli %93 oranında olumlu duygu ile öne çıkmaktadır. Kelime sıklığı ve kelime bulutu analizleri, olumlu yorumlarda temizlik, personel ilgisi, kahvaltı ve fiyat-performans unsurlarının ön planda olduğunu, olumsuz yorumlarda ise konum, oda düzeni ve teknik eksikliklerin öne çıktığını ortaya koymuştur. Nötr yorumlar ise daha çok betimleyici ve açıklayıcı niteliktedir. Sonuç olarak Tiny House otellerinin dijital ortamda güçlü bir kurumsal itibara sahip olduğu görülmektedir.

Anahtar Kelimeler

• Turizm
• oteller
• Tiny house
• yapay zekâ
• kurumsal itibar

Destekleyen Kurum

TÜBİTAK

Proje Numarası

1919B012415353

Etik Beyan

Mevcut çalışma için mevzuat gereği etik izni alınmaya ihtiyaç yoktur.

Teşekkür

Bu çalışma TÜBİTAK Bilim İnsanı Destekleme Daire Başkanlığı (BİDEB) tarafından 2209-A Üniversite Öğrencileri Araştırma Projeleri Destek Programı kapsamında desteklenmiştir (Proje Numarası: 1919B012415353).

Corporate Reputation Analysis of Customer Reviews for Tiny House Hotels with Artificial Intelligence

Öz

This study analyses the corporate reputation of six different tiny house hotels operating in Turkey based on online customer reviews. Data was obtained from the OtelPuan platform, and hotel names were concealed and coded as TH1–TH6. Sentiment analysis was performed using the TextBlob library, and reviews were categorised as positive, negative, or neutral. The findings show that positive reviews predominate for all hotels, while negative reviews are limited. The TH3 hotel stands out, with 93% positive sentiment. Word frequency and word cloud analyses reveal that cleanliness, staff attentiveness, breakfast, and value for money are prominent in positive reviews, while location, room layout, and technical deficiencies are highlighted in negative reviews. Neutral reviews are mostly descriptive and explanatory in nature. In conclusion, Tiny House hotels are seen to have a strong corporate reputation in the digital environment.

Anahtar Kelimeler

• Tourism
• hotels
• tiny house
• artificial intelligence
• corporate reputation

Destekleyen Kurum

TÜBİTAK

Proje Numarası

1919B012415353

Etik Beyan

There is no need to obtain ethical permission for the current study as per the legislation.

Teşekkür

This work was supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Scientific Personnel Support Directorate (BİDEB) under the 2209-A University Students Research Projects Support Programme (Project Number: 1919B0124153.

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