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Applied Sciences
Volume 14
Issue 18
10.3390/app14188304
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Article

A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform

by
Ivona Zakarija
1,*,
Frano Škopljanac-Mačina
2,
Hrvoje Marušić
1 and
Bruno Blašković
2
1
Department of Electrical Engineering and Computing, University of Dubrovnik, 20000 Dubrovnik, Croatia
2
Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb, Croatia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(18), 8304; https://doi.org/10.3390/app14188304
Submission received: 14 August 2024 / Revised: 9 September 2024 / Accepted: 11 September 2024 / Published: 14 September 2024
(This article belongs to the Special Issue Advancements in Natural Language Processing, Semantic Networks, and Sentiment Analysis)
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Abstract

Emerging research indicates that sentiment analyses of Dubrovnik focus mainly on hotel accommodations and restaurants. However, little attention has been paid to attractions, even though they are an important aspect of destinations and require more care and investment than amenities. This study examines how visitors experience Dubrovnik based on the reviews published on the Tripadvisor platform. Data were collected by implementing a web-scraping script to retrieve reviews of the tourist attraction “Old Town” from Tripadvisor, while data augmentation and random oversampling techniques were applied to address class imbalances. A sentiment analysis model, based on the pre-trained RoBERTa, was also developed and evaluated. In particular, a sentiment analysis was performed to compare reviews from 2022 and 2023. Overall, the results of this study are promising and demonstrate the effectiveness of this model and its potential applicability to other attractions. These findings provide valuable insights for decision makers to improve services and to increase visitor engagement.
Keywords: sentiment analysis; NLP; large language model (LLM); RoBERTa; transfer learning; tourism sentiment analysis; NLP; large language model (LLM); RoBERTa; transfer learning; tourism

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MDPI and ACS Style

Zakarija, I.; Škopljanac-Mačina, F.; Marušić, H.; Blašković, B. A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform. Appl. Sci. 2024, 14, 8304. https://doi.org/10.3390/app14188304

AMA Style

Zakarija I, Škopljanac-Mačina F, Marušić H, Blašković B. A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform. Applied Sciences. 2024; 14(18):8304. https://doi.org/10.3390/app14188304

Chicago/Turabian Style

Zakarija, Ivona, Frano Škopljanac-Mačina, Hrvoje Marušić, and Bruno Blašković. 2024. "A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform" Applied Sciences 14, no. 18: 8304. https://doi.org/10.3390/app14188304

APA Style

Zakarija, I., Škopljanac-Mačina, F., Marušić, H., & Blašković, B. (2024). A Sentiment Analysis Model Based on User Experiences of Dubrovnik on the Tripadvisor Platform. Applied Sciences, 14(18), 8304. https://doi.org/10.3390/app14188304

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