| 在线问答平台用户旅游信息需求研究——以途牛问答社区为例 |
| |
| 引用本文： | 赵雪芹,王青青.在线问答平台用户旅游信息需求研究——以途牛问答社区为例[J].农业图书情报学刊,2020,32(10):47-55. |
| |
| 作者姓名： | 赵雪芹 王青青 |
| |
| 作者单位： | 湖北大学历史文化学院,武汉430062;湖北大学历史文化学院,武汉430062 |
| |
| 基金项目： | 国家社科基金青年项目“基于数字网络的知识关联服务研究”（14CTQ042） |
| |
| 摘 要： | 目的/意义]研究旅游问答社区用户的旅游信息需求,为优化在线社区服务,吸引和鼓励更多有旅游意向的人使用网络分享和获取旅游信息。方法/过程]采用网络文本挖掘的方法,选取了途牛问答平台中有关北京的问答内容,将采集到的问答文本作为语料库,利用TF-IDF与TextRank两种不同原理的关键词抽取算法,对文本关键词进行逐一抽取,通过Gephi构建共现网络,采用Gephi的聚类功能明确关键词主题,从而掌握用户的旅游信息需求。结果/结论]在线旅游问答社区用户的旅游信息需求大致可以分为7类：住宿信息、饮食信息、交通信息、景区信息、团游信息、气候信息以及规划建议;用户对于不同类别的旅游信息需求,并非相互割裂、独立的,不同的需求之间存在着交错关系。
|
| 关 键 词： | 在线问答平台 网络文本挖掘 旅游信息需求 |
| 收稿时间： | 2020-05-27 |
An Investigation into the Travel Information Needs of Online Q&A Platform Users: Taking Tuniu Q&A Community as an Example |
| |
| ZHAO Xueqin,WANG Qingqing.An Investigation into the Travel Information Needs of Online Q&A Platform Users: Taking Tuniu Q&A Community as an Example[J].Journal of Library and Information Sciences in Agriculture,2020,32(10):47-55. |
| |
| Authors: | ZHAO Xueqin WANG Qingqing |
| |
| Institution: | School of History and Culture, Hubei University, Wuhan 430062 |
| |
| Abstract: | Purpose/Significance] In order to optimize online community services, attract and encourage more people with travel intentions to use the Internet to share and obtain travel information, this paper studies the travel information needs of users in the tourism Q&A community. Method/Process] Firstly, by using the network text mining, we selected the Q&A content about Beijing from the Tuniu Q&A platform as a corpus. Secondly, we used two different keyword extraction algorithms: TF-IDF and TextRank to extract the keywords of each text. Finally, we constructed a co-occurrence network through Gephi and use Gephi's clustering function to clarify the theme of the keywords, so as to grasp the user's travel information needs. Results/Conclusions] The travel information needs of users in the online travel Q&A community can be roughly divided into 7 categories: accommodation information, food information, traffic information, scenic spot information, group tour information, climate information and planning suggestions. Users have different types of travel information demands which are not separate and independent from each other. There is a staggered relationship between different demands. |
| |
| Keywords: | online question and answer platform network text mining travel information demand |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《农业图书情报学刊》浏览原始摘要信息 |
| 点击此处可从《农业图书情报学刊》下载免费的PDF全文 |
|
