HUBEI AGRICULTURAL SCIENCES ›› 2020, Vol. 59 ›› Issue (16): 166-171.doi: 10.14088/j.cnki.issn0439-8114.2020.16.038

• Economy & Management • Previous Articles     Next Articles

Research on tourism image of the Song Dynasty of Kungfu city based on network text analysis

GUO Meng-di, TIAN Yu-hui, SUN Li-qiang, WANG Peng-fei   

  1. College of Forestry of Henan Agricultural University , Zhengzhou 450002,China
  • Received:2020-05-07 Online:2020-08-25 Published:2020-10-09

Abstract: Take the Song Dynasty of Kungfu city in Kaifeng city of Henan province as an example,through websites such as Ctrip.com,LY.com and Mafengwo.com, the related comments and travel notes of the scenic spot were obtained. By using the network text analysis method and the Rost Content Mining software, the high-frequency feature words analysis, semantic network analysis and emotional analysis of the text were carried out,so as to study the tourists' perception of the tourism image of the scenic spot. The results showed that, tourists have a deep perception of the cultural theme characteristics of the Song Dynasty of Kungfu city, and have high satisfaction with the tourism activities. The emotional attitude was mainly positive, while negative emotions mainly focus on the facilities and services of the scenic spot. Therefore,the scenic spot should strengthen cultural publicity, and focus on improving the quality of facilities and services in scenic spot, so as to further enhance the tourism image of the scenic spot.

Key words: network text analysis, tourism image, the Song Dynasty of Kungfu city

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