In recent years, travel has increased due to the interest in the quality of life and work-life balance of individuals. As a result, the domestic travel industry is growing, but at the same time, improving domestic travel dissatisfaction remains a challenge. The purpose of this study is to derive the factors of dissatisfaction of major domestic tourists for domestic travel and to suggest ways to improve them. Based on the expectancy disconfirmation theory to explain the concept of consumer satisfaction and dissatisfaction by collecting the dissatisfaction of actual travelers, we analyzed using text mining technique and joint sentiment topic modeling. This study draws out and analyzes dissatisfaction points of major domestic travel destinations and suggests ways to resolve and improve dissatisfaction factors by travel destinations. First, dissatisfaction with the overall domestic travel factors was the topic of ‘price, transportation, rip off, sanitation, commercialization’. Second, the topics by major destinations are as follows. ‘Jeju Island’: ‘traffic, foreign tourists, prices, uncharacteristic spots’, ‘Jeon Ju’: ‘parking, rip off, food-oriented spots, commercialization’. ‘Busan’: ‘tout, sanitation, rip off, transportation’, ‘Gyeon Ju’: ‘parking, rip off, tourist, transportation’. Text Mining Technique Using Joint Sentiment Topic Modelling, which adds emotional dimension to topical modelling, we derived dissatisfaction factors, by major travel destinations in Korea and visualized the relationship between topics and keywords in a network diagram to enable intuitive understanding and differentiated improvement plans. This is the significance of this study. In practice, this study proposes a concrete improvement plan for the dissatisfaction point of each destination. This can contribute to improving the profits and competitiveness of the tourism industry by activating domestic travel.