Exploring destination image of Huashan through semantic network: a perspective of crowd-source big data

Jiarui Mou

doi:10.1117/12.2636976

29 April 2022 Exploring destination image of Huashan through semantic network: a perspective of crowd-source big data

Jiarui Mou

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122471O (2022) https://doi.org/10.1117/12.2636976
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

With the development of information and communication technology (ICT) and the rapid spread of smart mobile terminals, a large amount of crowd-sourced big data of user-generated content (UGC) is being produced in the cloud, providing us with new technical means and methods to analyze and calculate the image of tourism destinations. This paper proposes a technical framework for tourism destination image calculation based on cognitive theory, integrated with the application of content analysis and curve fitting methods, with the big data of Huashan travel blogs from Qunar.com as an example. It mainly analyzes the word frequency distribution pattern of blog big data, calculates the travel sentiment score, and constructs the travel sentiment word cloud map. The perception calculation of Huashan tourism image from three aspects of cognition, emotion, and overall is carried out, the semantic network map of Huashan tourist attractions is constructed, and the three-layer structure of Huashan tourism semantic network map with its internal connection characteristics, attractions relationship chain and resources is further analyzed. This research can provide an important technical framework and methodological basis for the extraction of tourism destination images, and provide valuable scientific references for the construction of tourism recommendation systems as well as the planning and management of the tourism department.

Citation Download Citation

Jiarui Mou "Exploring destination image of Huashan through semantic network: a perspective of crowd-source big data", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122471O (29 April 2022); https://doi.org/10.1117/12.2636976

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