Identification and Analysis of Tourists' Ecological Values based on Computer Network Text Mining Technology

Jun Zhang
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Abstract

Through in-depth excavation and analysis of tourist network texts in many rural tourist spots, the effectiveness of the ecological civilization construction function of rural tourist destinations is analyzed, and it can be found that tourists usually follow the basics of perceptual cognition, attitude and consciousness generation, emotion and behavior transformation Logic, realize the internalization of ecological values, perform topological clustering on the reference network, and then use the text mining method to extract the topic of the network community, combine the relationship between the network communities in different time periods to analyze the technological evolution path, and add materials Take the manufacturing field as an example to conduct empirical research and increase the efficiency by 7.63%.
基于计算机网络文本挖掘技术的游客生态价值识别与分析
通过对多个乡村旅游点旅游网络文本的深入挖掘和分析,分析乡村旅游地生态文明建设功能的有效性,可以发现,游客通常遵循感性认知、态度意识生成、情感和行为转化逻辑的基础,实现生态价值的内化,在参考网络上进行拓扑聚类;然后利用文本挖掘方法提取网络社区的主题,结合不同时间段的网络社区之间的关系分析技术演进路径,并添加材料以制造业领域为例进行实证研究,效率提升7.63%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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