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Data Analysis and Knowledge Discovery  0, Vol. Issue (): 1-    DOI: 10.11925/infotech.2096-3467. 2020.0606
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The Analysis of City Tourism Portrait Evolution Based on Multi-Dimensional Features and LDA Model
Ye Guanghui,Xu Tong,Bi Chongwu,Li Xinyue
(School of Information Management, Central China Normal University, Wuhan 430079)
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[Objective] Using the public's cognitive data with time attribute as research samples, this paper aims to explore the characteristics and laws of the evolution of the city portraits. [Methods] The research takes the urban tourism industry as a research facet, provides a method involving the LDA theme model and the multi-dimensional theme description framework of the city, to reveal the changing trend of the city portraits from three perspectives: the theme development process, the theme evolution trend in the first and second feature dimensions. [Results] As far as Hong Kong, China is concerned, the urban tourism portrait has no significant periodic changes, however the image perceptions of tourists to destinations always have the primary and secondary points. Sightseeing, transportation and entertainment are the main factors of the public's perception of Hong Kong's city image. Specifically, sightseeing has the central position and function during the entire theme evolution, the tourist entertainment mainly distributes in the early and late stages of the development, and the tourism traffic are more like to be at the medium term; In addition, each topic node in the evolutionary path has a stable iconic carrier reflecting the interaction between the public and urban elements. [Limitations] The research conclusion needs to be further deepened and expanded by comprehensive and diversified city data and analysis methods. [Conclusions] This article puts forward a research idea based on the tourism feature dimension to realize the development of the portrait of City Tourism. At the same time, the results of the study can be conducive to the urban planning and policy implementation.

Key words City profile      Evolution analysis      Feature dimension      LDA model      
Published: 04 September 2020
ZTFLH:  TP391.1  

Cite this article:

Ye Guanghui, Xu Tong, Bi Chongwu, Li Xinyue. The Analysis of City Tourism Portrait Evolution Based on Multi-Dimensional Features and LDA Model . Data Analysis and Knowledge Discovery, 0, (): 1-.

URL: 2020.0606     OR

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