基于网络文本挖掘的生态旅游满意度评价研究

doi:10.12005/orms.2022.0402

运筹与管理 ›› 2022, Vol. 31 ›› Issue (12): 165-172.DOI: 10.12005/orms.2022.0402

基于网络文本挖掘的生态旅游满意度评价研究

孙宝生, 敖长林, 王菁霞, 赵明阳

东北农业大学管理科学与工程系,黑龙江哈尔滨 150030

收稿日期:2019-10-29 发布日期:2023-02-02
通讯作者: 敖长林(1964-),男,蒙古族,黑龙江杜蒙人,教授,博士,博士生导师,研究方向:生态环境管理、数据挖掘、评价理论与方法。
作者简介:孙宝生(1994-),男,山东烟台人,硕士,研究方向:数据挖掘、评价理论与方法。
基金资助:
国家自然科学基金资助项目(71874026,71171044)

Evaluation of Ecotourism Satisfaction Based on Online Text Mining

SUN Bao-sheng, AO Chang-lin, WANG Jing-xia, ZHAO Ming-yang

Department of Management Science and Engineering, Northeast Agricultural University, Harbin 150030, China

Received:2019-10-29 Published:2023-02-02

摘要/Abstract

摘要： 科学的游客满意度评价有助于生态旅游的可持续发展。随着Web 2.0技术的发展,在线旅游评论已成为游客满意度研究的重要数据来源。本文以扎龙国家级自然保护区为例,基于在线旅游评论数据和网络文本挖掘技术,构建游客满意度评价指标体系和评价模型,定量评价游客的生态旅游满意度。结果表明:游客总体满意度为0.614,达到基本满意水平。研究不仅为准确评价生态旅游目的地的游客满意度提供新视角,也为相关生态旅游政策的制定提供参考。

关键词: 生态旅游, 游客满意度, 在线旅游评论, 网络文本挖掘

Abstract: Scientific evaluation of tourist satisfaction could contribute to the sustainable development of ecotourism. With the development of Web 2.0 technology, online travel reviews have become important sources of studies on tourist satisfaction of tourism destination. This paper constructs tourist satisfaction evaluation index system and evaluation model based on online travel reviews and online text mining to evaluate tourist satisfaction of ecotourism destination quantitatively by taking Zhalong national nature reserve as an example. The results suggest that total satisfaction is 0.614, at the fundamentally satisfied level. This research not only provides a new perspective of an accurate assessment of the tourist satisfaction of ecotourism destination, but also provides references for formulating ecotourism policy.

Key words: ecotourism, tourist satisfaction, online travel reviews, online text mining

中图分类号:

N945.2

孙宝生, 敖长林, 王菁霞, 赵明阳. 基于网络文本挖掘的生态旅游满意度评价研究[J]. 运筹与管理, 2022, 31(12): 165-172.

SUN Bao-sheng, AO Chang-lin, WANG Jing-xia, ZHAO Ming-yang. Evaluation of Ecotourism Satisfaction Based on Online Text Mining[J]. Operations Research and Management Science, 2022, 31(12): 165-172.

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基于网络文本挖掘的生态旅游满意度评价研究

Evaluation of Ecotourism Satisfaction Based on Online Text Mining

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