Analyzing Big Social Data for Evaluating Environment-Friendly Tourism in Turkey

Authors : Mahmud ALRAHHAL, Ferhat BOZKURT

Pages : 130-142

Doi:10.38016/jista.1209415

View : 271 | Download : 136

Publication Date : 2023-09-23

Article Type : Research Paper

Abstract :Tourism in Türkiye is fundamentally important for both the Turkish economy and travelers. Green tourism has gained increasing attention in the last few years. Analyzing big social data for evaluating environment-friendly tourism in Türkiye is important to gain an understanding of the factors impacting travelers\` intention to echo-friendly hotels. To meet the goal of the study, the data was retrieved from the Tripadvisor website using a crawling technique. Machine learning techniques, particularly Latent Dirichlet Allocation insert ignore into journalissuearticles values(LDA);, were utilized to discover satisfaction dimensions from the user-generated content. The k-means clustering approach was deployed for data segmentation. Finally, the online reviews classification model was trained and compared using Long Short-Term Memory insert ignore into journalissuearticles values(LSTM);, and Gated Recurrent Unit insert ignore into journalissuearticles values(GRU);. The obtained results reveal several important dimensions that impact tourists\` experience.
Keywords : LDA topic model, machine learning, text mining, segmentation, online customers reviews