众包旅游文本热度地名的共现挖掘

Data mining method of hot-toponym and its co-occurrence in crowdsourcing text written by tourists

针对众包旅游文本中蕴含着大量有待挖掘的旅游者时空行为信息的问题,该文提出基于文本集合的地名权重分配与共现矩阵相结合的计算方法,深入挖掘众包旅游文本中的地名信息,获取旅游地高热度地名间的共现关系。计算结果以共现矩阵和三元组共同存储的方式呈现,便于依据地名类型提取多研究视角下的共现关系子集。以九寨沟为例做实证研究,实现了九寨沟旅游地热度地名自动提取,实现旅游地内热度景观名称之间,及九寨沟与省内、省外热度城市名、省内旅游地名之间4类共现关系的可视化。结果表明:该方法能够适应旅游地理和相关学科对旅游文本内容挖掘的研究需求;挖掘结果对特定群体的旅游空间感知特征与结构有显著的表征意义。

Aiming at the issue that the crowdsourcing text written by tourists contains a lot of tourists behavior information of time and space to mine,a data mining method that combined weight distribution of toponym with co-occurrence matrix was proposed based on text set.It could mine relatively important and hot-toponym in texts to obtain co-occurrence relations between hot-toponym at the same time.The calculation results were stored in the form of co-occurrence matrixes and triples,which made extracting the subset which was based on type of place names very convenient.Taking Jiuzhaigou as a research destination to do empirical research,its tourism hot-toponym and the co-occurrence relationship as well as among visualization of the four types of co-occurrence relationships were obtained.The results showed that this method could meet different research needs of tourism geography and related disciplines,and the crowdsourcing tourism text data sources were particularly suitable for mining spatial perception characteristics and structure the specific tourist groups.