Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review

A sentiment analysis of visitor reviews at Borobudur Temple, using TripAdvisor data from 2017 to 2019, revealed that 76% of reviews were positive, 15% neutral, and 9% negative. The study employed a Support Vector Machine (SVM) model, achieving 100% accuracy with 401 test cases trained on 247 data points. This approach demonstrates the effectiveness of SVM in categorizing tourist sentiment, providing valuable insights for heritage site management and visitor experience optimization.

Widodo, E., Nursyafitri, G. D., Putri, O. N., & Nurmalasari, Y. (2020). Sentiment Analysis of Visitors in Borobudur Temple With Support Vector Machine Based on TripAdvisor Review. Proceedings of the 2nd International Seminar on Science and Technology (ISSTEC 2019). https://doi.org/10.2991/assehr.k.201010.009