基于内容分析法的旅游微博主题研究——以国家旅游局新浪微博为例

发布时间：2018-06-27 03:09

本文选题：旅游 + 微博　；参考：《现代情报》2016年04期

【摘要】：运用数据挖掘技术得到旅游文本属性与特征已成为旅游研究的重要领域,对旅游微博发文主题的研究有助于旅游机构形象塑造及内容传播推广,对旅游机构的微博信息供给及旅游形象的提升具有一定意义。本研究首先对内容分析法在旅游研究的运用状况及国内外旅游微博相关方面的研究进行梳理;其次,以国家旅游局新浪微博的网络文本内容为研究对象,借助Rost word parser词频分析软件提取网络文本的高频特征词并进行筛选;再次,采用内容分析法,结合社会网络及共词分析法,得到网络文本高频词之间的社会网络联系;最后,探索高频词的属性及其之间的联系特征,在国家旅游局新浪微博的内容分析基础上,提炼出其微博内容分为人文景观、自然景观、游客出行、旅游政务信息4个主题。
[Abstract]:Using data mining technology to obtain the attributes and features of tourism text has become an important field of tourism research. The research on the theme of tourism Weibo publication is helpful to the image shaping of tourism organizations and the dissemination of content. It has certain significance to the Weibo information supply and the promotion of tourism image. This research firstly combs the application of content analysis method in tourism research and the related research of tourism Weibo at home and abroad. Secondly, it takes the online text content of Sina Weibo of National Tourism Administration as the research object. With the help of the most word parser word frequency analysis software, the high-frequency feature words of the network text are extracted and screened. Thirdly, the social network connection between the high-frequency words in the network text is obtained by using the content analysis method, the social network analysis method and the co-word analysis method. Finally, On the basis of analyzing the content of Sina Weibo of National Tourism Administration, the Weibo contents are divided into four themes: humanistic landscape, natural landscape, tourist travel and tourism government information.
【作者单位】：安徽工程大学管理工程学院;南京大学信息管理学院;南京信息工程大学经济管理学院;
【基金】：国家旅游局重点项目“我国旅游机构微博形象及其提升策略研究”(项目编号:14TACK005) 教育部人文社会科学研究青年基金项目“社会化媒体情境下游客信息搜寻行为研究”(项目编号:15YJCZH090)成果之一
【分类号】：G206;F49

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