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Volume 8,Issue 8

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12 August 2025
Research on Tourism Attraction Perception Evaluation of Taiyuan Ancient County Based on Online Text Analysis
Yuanyuan Hao ,  Ying Wu
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1 School of Management, Chongqing University of Science and Technology, Chongqing 401331, China,
ssr 2025 , 7(7), 210–221; https://doi.org/10.26689/ssr.v7i7.11628
© 2025 by the Authors. Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

This paper utilizes ROST Content Mining software to analyze tourist reviews of Taiyuan Ancient County from the renowned travel website Ctrip. Through extracting high-frequency words, the study conducts word frequency analysis, semantic network analysis, and sentiment analysis. Combining these findings with the actual situation of Taiyuan Ancient County, the paper further analyzes the factors influencing tourism attraction. The results indicate that tourism attraction is related to ancient city landscapes, service management, consumption structure, cultural experience, and performance activities. Based on the research conclusions, the paper proposes five suggestions for enhancing the tourism attraction of Taiyuan Ancient County, providing theoretical guidance for the upgrade and transformation of the scenic area.

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