TITLE:
Research on the Image Perception of Tourism Destination Based on Big Data
AUTHORS:
Yanbo Zhang, Huijie Yan
KEYWORDS:
Network Text, Data Mining, Image Perception
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.12 No.6,
June
27,
2024
ABSTRACT: Tourism is an important strategic pillar industry in the national economy, and the image of tourism destination plays an important role in the tourism decision-making. This paper with the Beihai as a study case, after the tourists as the research subject, using Python technology climb ctrip travel network the latest 200 travel notes as data source, using the ROST Content Mining software analysis of Chinese word frequency analysis, emotion analysis and social network and semantic network analysis function, combined with offline questionnaire survey data as a supplement, comprehensive study of tourist tourism image of the north sea perception. The research results show that: 1) Old Street, Silver Beach and Weizhou Island are the basic cognitive images of tourists for the tourism image of Beihai, reflecting the tourism characteristics of Beihai Marine resources. 2) Tourists have a high recognition of the scenic spot, with positive emotions accounting for 88.64%. The offline questionnaire survey shows that the overall satisfaction of tourists is 93%. 3) Comprehensive analysis of the network travel notes semantic network map, tourist tourism image perception and evaluation system. The results provide targeted suggestions for the image dissemination of Beihai tourist destinations.