Fuzhou destination image perception study: based on machine learning LDA model and SVM model

Ronghui Liu; Jinhuang Lin; Qianqian Wei; Qingquan Jiang

doi:10.1117/12.2674702

23 May 2023 Fuzhou destination image perception study: based on machine learning LDA model and SVM model

Ronghui Liu, Jinhuang Lin, Qianqian Wei, Qingquan Jiang

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126043S (2023) https://doi.org/10.1117/12.2674702
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

The image shaping of tourist attractions is one of the important factors to attract tourists. This paper explores the perceived impression of Fuzhou in tourists' mind and the perceived dimensions of tourists' attention by studying the review texts of tourists when they visit Fuzhou. By collecting reviews about Fuzhou on Tongcheng.com, Ctrip.com, and Donkey Mama, the destination image of Fuzhou is obtained through LDA (Latent Dirichlet Allocation) theme modeling model and SVM (Support Vector Machine) sentiment analysis model text data mining, so as to objectively extract the perceptual dimensions of tourists when visiting Fuzhou. The study found that the perceptual dimensions that tourists focus on during their visit to Fuzhou are mainly, namely, "tourism services," "entrance fee," "human landscape," "natural landscape;" "natural scenery," "history and culture," and "activity experience". The results of the study have some reference significance for Fuzhou in construction and promotion.

Citation Download Citation

Ronghui Liu, Jinhuang Lin, Qianqian Wei, and Qingquan Jiang "Fuzhou destination image perception study: based on machine learning LDA model and SVM model", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126043S (23 May 2023); https://doi.org/10.1117/12.2674702

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