[目的/意义]挖掘游记文本中潜在利用价值,为旅行者在制定旅游计划时提供科学、可供决策的信息。[方法/过程]以蚂蜂窝旅游网中的“杭州游记”为例,利用文本挖掘技术,结合频次分析、共现分析以及网络分析等方法,针对游记文本进行知识发现与聚合,实现杭州旅游景点及路线推荐,并得到杭州旅游景点特色及体验知识的聚合结果。[结果/结论]通过对比分析蚂蜂窝旅行网中的杭州旅游信息,提出了注重信息间关联、保证关键信息实用性与时效性的服务建议。
[ Purpose/Significance ] This paper proposes to mine and aggregate the potential value of the travel notes to facilitate the travel- ers in making their travel plans with scientific and available information. [ Method/Process ] Taking the travel notes data of "Hangzhou" extracted from Mafengwo. cn as an example, using text mining technology, combined with frequency analysis, co-occurrences analysis, anti network analysis, the paper shoxvs the tourist attractions and router for Hangzhou based on knowledge discovery and aggregation on travel notes. In addition, the results with knowledge aggregation for characteristics of the tourist attractions and travelers experience are presented. [ ResuR/Condusion] Through the comparative analysis of our results with tourism information about Hangzhou on Mafengwo. cn, the paper suggests that the sites should put emphasis on the relationship between information and ensure the usefulness and timeliness of key information.