Mining Tourism Information from Web Fourm

• Main Authors: Wang, Siou-Hao, 王修毫
• Other Authors: Liu, Duen-Ren
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/13425843195175123562

碩士 === 國立交通大學 === 管理學院資訊管理學程 === 101 === Tourism is one kind of industry without pollution, and brings stable economic growth in last ten years. It is quite important to know the trends of tourism for people who make tourism plan or dedicate to improve the quality of tourism. According to the report of Tourism bureau, most of Taiwanese travel at the region of their current address place of residence. This paper aims to know what kinds of topics will be given special attention. Although tourists have similar behavior at the same region, but consider the complexity of tourism plan making, it must have few differences. Most of information is unstructured or semi-structured on web forum. Through a series of data pre-processing, tourism information can be extracted. Finally, here processing web forum's data is processed with Apriori algorithm. According to the analysis, the behaviors of tourism are highly similar at Taoyuan County and Hsinchu City. People tend to pay attention on topic of tourism about "Food"; the behavior of Hsinchu County's tourists fall between Taoyuan County and Hsinchu City. Moreover, negative topics are paid highly attention; the most hit tourism topics of Miaoli County are all about "sightseeing". But these topics are not paid attention continually.