Analysis of Online Word-of-Mouth Taiwan Tourist City

• Main Authors: CHUNG PING CHIEH, 鍾秉潔
• Other Authors: SHIH MENG LUNG
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/73505895546359470474

碩士 === 國立臺東大學 === 文化資源與休閒產業學系 === 102 === In recent years, tourism has become the modern way of relieving the pressure of life. Tourism is classified as outdoor recreational activities. It make people temporarily stay away from everyday life,going to an unfamiliar environment to experience different life from their common life before. Tourism is helpful for relieving stress , augmenting knowledge, and attain both physical’s and spiritual’s recovery. With the advancement of technology and the popularity of household computers, consumers get more easily to share their most authentic experiences spontaneity on the network and share with other people, so word of mouth on network is considerably important. This study investigated the properties of various city attractions, features. Understand what consumers feel after experience the tourist attractions, exploring domestic tourism issues by the point of view of consumers. Investigate the key factors when consumers making the decisions of attractions. Consequently, through the characteristics of the word of mouth on network, using network mining techniques to capture 2095 pieces of articles from 2008 to 2013 on " Yahoo! Kimo ", "Pixnet ",and " yam sky blog ". By phrasing Chinese sentences and Chinese characteristic word extracted, it form the reputation items. Through correspondence analysis using the two-dimensional positioning chart, presenting relative position of category data. By correspondence analysis, this study finally through positioning chart and each variable items with close degree and distance to describes different correspondence relation of intensity. Using different evaluation projects, analysis of objectives, evaluation of projects correspondence between feature words and consumer satisfaction and satisfaction levels between characteristic words. Explorig the feelings and evaluation of tourist attractions after consumers experience it, and make an induction. In order to provide travel agents marketing decisions and consumer spending decisions as participants test .