The Study of Cruise Passengers’ Revisit Intention by Text Mining of Social Media

• Main Authors: Huang, Po-Hsiang, 黃柏翔
• Other Authors: Hwang, Ming-Jiu
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/9b9889

碩士 === 國立交通大學 === 運輸與物流管理學系 === 105 === The cruise traveler's revisit intention information is an important issue for cruise companies. This study uses the social media to collect the message after the passenger experience, and the text mining to identify key words and classification, calculate the possibility of cruise passengers wish to revisit. In addition, this study uses the sentimental analysis to quantify the scores of each post, and analyzes whether the intention of the post on the visitors is significant by regression analysis. The results show that the content of the post contains the words of destination, time, experience and sensory has a positive effect on the revisit intention of the tourists, and the association analysis results can find the association rules of the words which traveler uses, and according to the different posts word classification combination, calculate the posting word classification combination of the possibility of the revisit intention.