Information Systems for Cultural Tourism Management Using Text Analytics and Data Mining Techniques

International Journal of Interactive Mobile Technologies

article

Thanet Yuensuk¹  Potsirin Limpinan¹  Wongpanya Nuankaew¹  Pratya Nuankaew² 

[1] Rajabhat Maha Sarakham University;School of Information and Communication Technology, University of Phayao

关键词: Cultural Tourism Management;    Opinion Data Mining;    Text Mining;    Tourist Attraction;    Tourist Experience;   

DOI  :  10.3991/ijim.v16i09.30439

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

Using technology to deliver specific human interests is gaining attention. It results in humans being presented differently with what each individual wants. Therefore, this research aims to develop a culturally tourism recommended application using machine learning technology. It has three objectives: to develop a predictive model for cultural tourism management using text mining techniques, to evaluate the effectiveness of the cultural tourist attraction management model, and to assess the satisfaction of using the application for cultural tourism management. The research data was collected on Facebook conversations from 385 tourists (3,257 transactions) who had traveled to a famous tourist destination in Maha Sarakham Province. The prediction model development tools are three classification techniques including Naïve Bayes, Neural Network, and K-Nearest Neighbor. The model performance evaluation tool consists of a confusion matrix and cross-validation methods. In addition, a questionnaire was used to assess the satisfaction of the application. The results showed that the model with the highest accuracy was modeled by the Naïve Bayes technique with an accuracy of 91.65%. Simultaneously, the level of satisfaction with the application was high, with an average of satisfaction equal to 3.98 (S.D. equal to 0.69). It was therefore concluded that the application was accepted by it to be further expanded to offer more widespread research.

【 授权许可】

CC BY