基于网络文本分析的游客情感表达研究

Ling Xiao, Fuxi Liang, Kaiyong Cheng, Huiru Xu
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摘要

本文利用网络抓取程序收集携程网都秀峰王城景区2800篇点评文本,经过处理后,保留2725篇点评文本作为研究样本,结合文本分析方法,利用ROSTCM6进行情感分析、词云图分析和语义网络分析,分析用户点评情感。研究发现,用户对都秀峰王城景区点评的态度大多是积极的,但不同点评者的评价差异较大;用户更关心的是景点、导览、入场费和娱乐节目费用;景区是一个以体验为主的综合性景区。并在此基础上提出了桂林景区旅游优化发展的对策。
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Research on Tourists' Emotional Expression Based on Web Text Analysis
This paper uses a web crawler program to collect 2800 review texts of Duxiufeng Wangcheng Scenic Area on Ctrip.com, and after processing, 2725 review texts are retained as research samples, combined with text analysis methods, using ROSTCM6 for sentiment analysis, word cloud graph analysis and semantic network analysis to analyze user review sentiment. It is found that users have mostly positive attitudes towards Duxiufeng Wangcheng scenic spot reviews, but there are large differences between different reviewers' reviews; users are more concerned about scenic spots, guided tours, entrance fees and entertainment program costs; the scenic spot is an experience-based comprehensive scenic spot. And based on the above results, we propose countermeasures for optimizing the development of Guilin scenic spot tourism.
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