Development of Mobile Application to Provide Tourist Plan for Supporting Local Economy in Bannang Sata District, Yala, Thailand
Keywords:
Natural Language Processing, Machine Learning, Data Classification, Navigation SystemAbstract
The research objectives were to 1) develop an application to provide tourism information and support smart travel advice, and 2) create a public relations channel for tourist attractions for Bannang Sata District, Yala Province, using the application as a tool to elevate the local tourism, and take part in building confidence to tourists in visiting the area, and stimulate the sustainable economic system in the area.
The theory of Natural Language Processing was used with Machine Learning using the Naïve Bayes, the method of text classification. The analysis result for Precision was 0.61 and F-measures was 0.70, indicating that the system's travel itinerary recommendations were accurate at 0.61. As for satisfaction from 190 application users, which divided into 3 groups as follows: Group 1: the representatives of the youth in Bannang Sata District. Group 2: business people who operated their businesses in Bannang Sata District. Group 3: Students of Yala Rajabhat University. On average, user satisfaction was at a good level.
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