A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES

Ahmet Cumhur Öztürk; Gözde Öztürk

TR EN

AVRUPA KRUVAZİYER ROTALARINDA YOLCU MEMNUNİYETİNİN MODELLENMESİNE YÖNELİK ÇİZGE TABANLI KÜMELEME VE BÜYÜK DİL MODELİ DESTEKLİ ÖZELLİK TABANLI DUYGU ANALİZİ YÖNTEMİ

Abstract

Kruvaziyer turizmi, seyahat edenlere birden fazla destinasyonu ziyaret ederken çeşitli gemi içi hizmetlerden yararlanma olanağı sunmaktadır. Turizm endüstrisinin en hızlı büyüyen sektörlerinden biri hâline gelmiştir. Çevrimiçi platformlardaki kullanıcı kaynaklı içeriklerin artmasıyla birlikte çevrimiçi yorumlar, hem yolcular hem de kruvaziyer işletmecileri için önemli bir bilgi kaynağı hâline gelmiştir. Bu çalışma, Avrupa kruvaziyer rotalarındaki yolcu memnuniyetini analiz etmek için geçişli kümeleme, konu modelleme ve Hedef (Aspect) Bazlı Duygu Analizi (ABSA) yöntemlerini entegre eden özgün bir çerçeve sunmaktadır. Kruvaziyerler, ziyaret ettikleri limanlara göre dört ana coğrafi bölgeye ayrılmıştır. Çevrimiçi yorumlardan sekiz temel boyut belirlenmiş olup bunların üçü doğrudan seyahat rotası ile ilişkilidir. OpenAI API üzerinden erişilen GPT-4o mini büyük dil modeli, cümle düzeyinde hedef bazlı duygu analizinin gerçekleştirilmesinde kullanılmıştır. Bulgular, Doğu Akdeniz rotasındaki kruvaziyerlerin rota ile ilgili boyutlarda en yüksek memnuniyet puanlarını aldığını, Batı Avrupa ve Atlantik kıyı bölgelerindekilerin ise en düşük puanları elde ettiğini göstermektedir. Bu çalışma, GPT-4o mini büyük dil modelinin çevrimiçi kullanıcı yorumlarındaki incelikli duyguları yakalamadaki etkinliğini vurgulamaktadır. Ayrıca, müşteri geri bildirimlerine dayalı olarak Avrupa’daki en memnun ve en memnuniyetsiz kruvaziyer bölgelerini belirlemekte ve karar destek amacıyla bir hedef × bölge bilgi haritası sunmaktadır.

Keywords

A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES

Abstract

Cruise tourism offers travelers the opportunity to visit multiple destinations while enjoying various onboard services. It has emerged as one of the fastest growing sectors in the tourism industry. Online reviews have become an essential resource for both travelers and cruise operators, with the rapid increase in user-generated content on online platforms. This study presents a novel framework for analyzing cruise passenger satisfaction across European itineraries by integrating transitive clustering, topic modeling, and Aspect Based Sentiment Analysis (ABSA). Cruises were grouped into four major geographic regions based on the ports they visited. Eight key aspects from online reviews were identified where three of them are itinerary related. The GPT-4o mini large language model, accessed through the OpenAI API, was used for fine-grained sentence-level aspect-based sentiment analysis. Results show that cruises in the Eastern Mediterranean received the highest satisfaction scores across itinerary related aspects while those in the Western European and Atlantic Coastal scored lowest. This study highlights the effectiveness of the GPT-4o mini large language model in extracting nuanced sentiment from informal online reviews. It also identifies the most and least satisfying cruise regions in Europe based on customer feedback, while providing an aspect×region knowledge map for decision support.

Keywords

References

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Details

Primary Language

English

Subjects

Deep Learning, Semi- and Unsupervised Learning, Big Data

Journal Section

Research Article

Authors

Ahmet Cumhur Öztürk
0000-0002-2677-3269
Türkiye

Gözde Öztürk ^*
0000-0002-8204-1206
Türkiye

Publication Date

September 3, 2026

Submission Date

March 15, 2026

Acceptance Date

May 6, 2026

Published in Issue

Year 2026 Volume: 29 Number: 3

IZ

https://izlik.org/JA48TD82EG

Cite

RIS / Bibtex

APA

Öztürk, A. C., & Öztürk, G. (2026). A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 29(3), 1137-1152. https://izlik.org/JA48TD82EG

AMA

1.Öztürk AC, Öztürk G. A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES. KSU J. Eng. Sci. 2026;29(3):1137-1152. https://izlik.org/JA48TD82EG

Chicago

Öztürk, Ahmet Cumhur, and Gözde Öztürk. 2026. “A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29 (3): 1137-52. https://izlik.org/JA48TD82EG.

EndNote

Öztürk AC, Öztürk G (September 1, 2026) A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29 3 1137–1152.

IEEE

[1]A. C. Öztürk and G. Öztürk, “A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES”, KSU J. Eng. Sci., vol. 29, no. 3, pp. 1137–1152, Sept. 2026, [Online]. Available: https://izlik.org/JA48TD82EG

ISNAD

Öztürk, Ahmet Cumhur - Öztürk, Gözde. “A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi 29/3 (September 1, 2026): 1137-1152. https://izlik.org/JA48TD82EG.

JAMA

1.Öztürk AC, Öztürk G. A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES. KSU J. Eng. Sci. 2026;29:1137–1152.

MLA

Öztürk, Ahmet Cumhur, and Gözde Öztürk. “A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES”. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, vol. 29, no. 3, Sept. 2026, pp. 1137-52, https://izlik.org/JA48TD82EG.

Vancouver

1.Ahmet Cumhur Öztürk, Gözde Öztürk. A GRAPH-BASED CLUSTERING AND LARGE LANGUAGE MODEL-ENHANCED ASPECT-BASED SENTIMENT ANALYSIS FRAMEWORK FOR MODELING PASSENGER SATISFACTION IN EUROPEAN CRUISE ITINERARIES. KSU J. Eng. Sci. [Internet]. 2026 Sep. 1;29(3):1137-52. Available from: https://izlik.org/JA48TD82EG