DOI: 10.18178/wcse.2025.06.014
Contrastive Sentiment Behavior of Locals and Tourists in Thailand’s Transport System
Abstract— This research investigates the differences in sentiment expression between Thai-speaking locals and English-speaking tourists within online feedback related to Thailand's public transportation systems. A comprehensive sentiment analysis was performed using lexicon-based methods across datasets collected from multiple platforms, including Pantip, Google Reviews, and Twitter. Results show that Thai reviews exhibit a higher proportion of neutral and moderately positive sentiments, while English reviews contain more polarized and emotionally intense content. Quantitatively, the average sentiment score for Thai texts is 0.31 (variance: 0.12), compared to 0.15 (variance: 0.29) for English texts. These findings offer significant implications for the development of culturally aware sentiment monitoring systems in multilingual environments.
Index Terms— Sentiment analysis, Thai-English comparison, public transport, lexicon-based model, emotional intensity, multilingual NLP.
Vinh Van Thanh Nguyen, Anh Nguyen Tran
University of Danang, Danang,VIETNAM
Karn Na Sritha, Khanista Namee
King Mongkut's University of Technology North Bangkok, Bangkok, THAILAND
Jantima Polpinij
Mahasarakham University,THAILAND
Rudsada Kaewsaeng-On
Prince of Songkla University,THAILAND
Kanokwan Robmeechai
Provincial Electricity Authority, THAILAND
Cite: Vinh Van Thanh Nguyen, Anh Nguyen Tran, Karn Na Sritha, Jantima Polpinij, Rudsada Kaewsaeng-On, Kanokwan Robmeechai, Khanista Namee, "Contrastive Sentiment Behavior of Locals and Tourists in Thailand’s Transport System", 2025 the 15th International Workshop on Computer Science and Engineering (WCSE 2025), pp. 84-89, Jeju Island, South Korea, June 28-30, 2025.