摘要
旅游分享近些年来作为旅游管理研究的新方向,受到很多旅游管理学家的广泛关注。本文选取四个典型旅游网站--携程网、马蜂窝网、去哪儿网、途牛网作为研究样本,采用文本挖掘的方法,选取四大旅游网站上有关陕西的旅游游记作为研究内容,对游记中的词频、情感和语义网络进行分析。研究结果表明:具有典型旅游符号标记且充满历史文化底蕴的景点最受来陕西游客的喜爱。来陕旅游者的情感类型以积极情绪为主,消极情绪所占的比例较小。陕西省旅游景点景区的社交网络中心度较低,语义社交网络结构较为松散,一半以上的景点景区对相邻的旅游资源控制力较小,不存在景点景区集群现象。
Tourism sharing,as a new direction of tourism management research in recent years,has received extensive attention from many tourism management scientists.This article selects four typical travel websites-Ctrip.com,Ma.com,Qunar.com,and Tuniu.com as research samples.Using text mining methods,this article selects the travel notes related to Shaanxi in four major travel websites as research content and analyzes the word frequency,emotion and semantic network in travel notes.The research results show that the scenic spots with typical tourist symbols and full of historical and cultural heritage are most popular with tourists from Shaanxi.The sentiment types of tourists coming to Shaanxi are mainly positive emotions,and the proportion of negative emotions is small.The social network centrality of tourist attractions in Shaanxi Province is relatively low,and the semantic social network structure is relatively loose.More than half of the tourist attractions have less control over neighboring tourism resources,and there is no cluster of tourist attractions.
作者
林毅焜
LIN Yi-kun(South China Agricultural University,Guangzhou 510000,China)
出处
《价值工程》
2020年第8期243-247,共5页
Value Engineering
基金
2018年度广东省省级大学生创新创业训练计划立项项目(编号:201810564150)。
关键词
陕西省
文本挖掘
典型旅游网站
旅游分享
Shaanxi Province
text mining
typical travel website
travel sharing
