安徽农业科学2017，Vol.45Issue(3)：203-206,4.
基于网络文本内容分析的旅游地意象研究——以南昌市为例
Research on the Tourist Destination Image Based on Internet Text Content Analysis—Taking Nanchang City as a Case
周洲 1李菁1
作者信息
- 1. 东华理工大学地球科学学院,江西南昌330013
- 折叠
摘要
Abstract
In this paper,taking Nanchang City as a case,using cloud collection technology to collect the internet text data of tourist travel.By u-sing ROST Content Mining's Content Analysis (CA) and Semantic Network Analysis (SNA) to synthetically mine the image characteristics of tourism destination and the image structure in-depth.The results showed that the humanities landscape tourism is the tourist destination of Nanchang City,the tourist destination image include 6 themes:hero city,historical and cultural city,entertainment,shopping,delicacy of natural scenery,crowded hot city.The graph of Semantic Network Analysis shows the structure of "Core triangle area-Inner bounding area-Outer bounding area-Divergence point".关键词
旅游地意象/网络文本/内容分析/南昌市Key words
Tourist destination image/Internet text/Content analysis/Nanchang City分类
管理科学引用本文复制引用
周洲,李菁..基于网络文本内容分析的旅游地意象研究——以南昌市为例[J].安徽农业科学,2017,45(3):203-206,4.
