This study explores tourists' behavioral patterns in Bali's top-rated destinations, focusing on perception and mobility. The research integrates multiclass text classification and network analysis to uncover tourists' behavioral patterns through their perceptions and movement. The study finds that destinations generally receive positive feedback, with 80.36% of reviews being positive, with natural attractions being the most positive aspect while infrastructure is the least positive. Qualitative experiences do not always align with quantitative cost-effectiveness evaluations. Through network analysis, the study identifies patterns in tourist mobility, highlighting three clusters of attractions that cater to diverse preferences. The research underscores the need for tourism destinations to strategically adapt to tourists' varied expectations, enhancing their appeal and aligning their services with preferences to elevate destination competitiveness and increase tourist satisfaction. The study also examines the sentiment correlation between different cognitive dimensions and the co-occurrence of cognitive image dimensions within the same individual's mind. The findings highlight the importance of understanding tourists' perceptions and mobility patterns to improve tourism offerings and destination management. The study uses BERT-based sentiment analysis and multiclass text classification to categorize reviews into cognitive image dimensions, revealing insights into tourists' sentiments and perceptions. The results show that the Sacred Monkey Forest Sanctuary is the most popular attraction with 18,542 reviews, while other destinations such as Uluwatu Temple and Sanur Beach also receive a high number of reviews. The study provides a comprehensive overview of the popularity of various tourist destinations in Bali based on their number of reviews. The findings emphasize the need for tourism stakeholders to consider tourists' perceptions and mobility patterns in their strategies to enhance destination competitiveness and tourist satisfaction.This study explores tourists' behavioral patterns in Bali's top-rated destinations, focusing on perception and mobility. The research integrates multiclass text classification and network analysis to uncover tourists' behavioral patterns through their perceptions and movement. The study finds that destinations generally receive positive feedback, with 80.36% of reviews being positive, with natural attractions being the most positive aspect while infrastructure is the least positive. Qualitative experiences do not always align with quantitative cost-effectiveness evaluations. Through network analysis, the study identifies patterns in tourist mobility, highlighting three clusters of attractions that cater to diverse preferences. The research underscores the need for tourism destinations to strategically adapt to tourists' varied expectations, enhancing their appeal and aligning their services with preferences to elevate destination competitiveness and increase tourist satisfaction. The study also examines the sentiment correlation between different cognitive dimensions and the co-occurrence of cognitive image dimensions within the same individual's mind. The findings highlight the importance of understanding tourists' perceptions and mobility patterns to improve tourism offerings and destination management. The study uses BERT-based sentiment analysis and multiclass text classification to categorize reviews into cognitive image dimensions, revealing insights into tourists' sentiments and perceptions. The results show that the Sacred Monkey Forest Sanctuary is the most popular attraction with 18,542 reviews, while other destinations such as Uluwatu Temple and Sanur Beach also receive a high number of reviews. The study provides a comprehensive overview of the popularity of various tourist destinations in Bali based on their number of reviews. The findings emphasize the need for tourism stakeholders to consider tourists' perceptions and mobility patterns in their strategies to enhance destination competitiveness and tourist satisfaction.