基于网络问答文本分析的延安旅游公共信息服务优化研究
Study on the optimization of tourism public information service in Yanan based on internet Q&A text analysis
刘晓华 1叶孝吉1
作者信息
- 1. 延安大学经济与管理学院,陕西延安 716000
- 折叠
摘要
完善旅游公共信息服务是顺应游客个性化出行趋势、实现旅游目的地全面发展的重要途径.在利用TextRank算法抽取关键词、生成共现网络的基础上,采用类属分析逐条提炼文本核心概念,构建了含4个一级类目的旅游公共信息需求体系,并结合关键词与文本等对延安游客旅游公共信息服务需求特性与变化趋势展开分析.结果表明:(1)延安旅游公共信息服务需求涵盖旅游目的地信息、旅游注意事项信息、旅游公共交通信息、涉旅企业信息4个主题,可细分为18个次主题;(2)延安游客旅游公共信息需求并不均衡,涉旅企业信息需求最大,旅游注意事项信息需求最小;(3)延安旅游公共交通信息需求呈明显下降趋势,涉旅企业信息需求呈明显上升趋势.
Abstract
Improving tourism public information service is an important way to follow the trend of person-alized travel of tourists and realize the comprehensive development of tourist destinations.On the basis of using the TextRank algorithm to extract keywords and generate co-occurrence networks,the core concepts of text are extracted one by one by category analysis,and a tourism public information demand system con-taining four first-level categories is constructed.Combined with keywords and texts,the characteristics and changing trend of tourism public information service in Yan'an are analyzed.The results show that:(1)The required content of Yan'an tourism public information service covers four themes:tourism destination infor-mation,tourism precautions information,tourism public transportation information,and tourism enterprise information,which can be subdivided into 18 sub-themes.(2)Tourists in Yan'an have uneven demand for public tourism information,with the largest demand for information from tourism-related enterprises and the smallest demand for information on tourism precautions.(3)The information demand of public trans-portation in Yan'an shows an obvious downward trend,while the information demand of tourism-related enterprises shows an obvious upward trend.
关键词
旅游公共信息/文本分析/信息需求Key words
Tourism public information/Text analysis/Information requirements引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据