大数据时代乡村旅游数据挖掘与分析

基于新浪微博,结合计算机技术信息检索和挖掘方法,通过对2014年江苏省农家乐乡村旅游相关微博的提取、加工、分析微博数据,将分析结果可视化显示,研究农家乐乡村旅游的时空分布规律,分析微博中高频词汇,研究农家乐乡村旅游的热点问题,从而了解农家乐乡村旅游客源市场的需求,对乡村旅游产品的开发规划和市场发展提供信息和决策支持。...

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Bibliographic Details
Published in江西农业学报 Vol. 27; no. 8; pp. 143 - 146
Main Author 谷文林 任敏
Format Journal Article
LanguageChinese
Published 河海大学 商学院,江苏 南京,211100 2015
Subjects
乡村旅游
大数据
微博
数据抓取
时空分析
时空分析
乡村旅游
Temporal and spatial analysis
微博
Microblog
Big data
数据抓取
Data mining
大数据
Rural tourism
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Summary:基于新浪微博,结合计算机技术信息检索和挖掘方法,通过对2014年江苏省农家乐乡村旅游相关微博的提取、加工、分析微博数据,将分析结果可视化显示,研究农家乐乡村旅游的时空分布规律,分析微博中高频词汇,研究农家乐乡村旅游的热点问题,从而了解农家乐乡村旅游客源市场的需求,对乡村旅游产品的开发规划和市场发展提供信息和决策支持。
Bibliography:GU Wen-lin, REN Min （School of Business, Hohai University, Nanjing 211100, China）
36-1124/S
Rural tourism; Microblog; Big data; Data mining; Temporal and spatial analysis
Based on Sina microblog, by using computer information retrieval and data mining methods, we extracted, processed and analyzed the microblog data related to the Agricola rural tourism in Jiangsu province in 2014, and visually displayed the analysis results. The author studied the spatial and temporal distribution rule of Agricola rural tourism, analyzed the high-frequency vocabularies in the microblog, researched the hot issues of Agricola rural tourism, and understood the tourist＇ s demands for Agricola rural tourism, in order to provide information and decision support for exploitation planning and market development of rural tourism products.
ISSN:1001-8581