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Analysis of Tourists’ Perception Image of Characteristic Towns Based on Network Text:A Case Study of Xinghua Village and Town
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Chonghuan YUAN1, Tianke SUN1, 2, Junjie NIU2
Science Technology and Industry | 2025, 25(2) : 198 - 203
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Science Technology and Industry | 2025, 25(2): 198-203
Regional Practice
Analysis of Tourists’ Perception Image of Characteristic Towns Based on Network Text:A Case Study of Xinghua Village and Town
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Chonghuan YUAN1, Tianke SUN1, 2, Junjie NIU2
Affiliations
  • 1 School of Geographical Sciences, Taiyuan Normal University, Jinzhong 030619, Shanxi, China
  • 2 Fenhe River Basin Scientific Development Research Center of Taiyuan Normal University, Jinzhong 030619, Shanxi, China
Published: 2025-01-25
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Tourist comments about Xinghua Village and Town on mainstream tourism websites were collected through the internet, and ROST Content Mining software was used to analyze the word frequency, semantic network and emotion of tourist comment texts. It is concluded that tourists are relatively satisfied with the tourism environment and distinctive culture of the entire scenic area, but there are also dissatisfaction evaluations on management, service facilities and service quality. Therefore, Xinghua Village and Town should strengthen service management level, improve infrastructure construction, innovate liquor cultural products, increase publicity efforts, and improve the overall image of the characteristic town, so as to further enhance the tourist experience, attract more tourists, and create another well-known brand in Shanxi.

web text  /  characteristic town  /  visitor perception  /  Xinghua village and town
Chonghuan YUAN, Tianke SUN, Junjie NIU. Analysis of Tourists’ Perception Image of Characteristic Towns Based on Network Text:A Case Study of Xinghua Village and Town[J]. Science Technology and Industry, 2025 , 25 (2) : 198 -203 .
Year 2025 volume 25 Issue 2
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  • Receive Date:2024-05-22
  • Online Date:2025-07-21
  • Published:2025-01-25
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  • Received:2024-05-22
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Affiliations
    1 School of Geographical Sciences, Taiyuan Normal University, Jinzhong 030619, Shanxi, China
    2 Fenhe River Basin Scientific Development Research Center of Taiyuan Normal University, Jinzhong 030619, Shanxi, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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