Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology

Symmetries play very important roles in the analysis of cognitive and emotional attitudes. The analysis with Python technology, including optimized artificial intelligence technology, is designed on the basis of symmetry principles. Destination image perception as a branch of destination image resea...

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Main Author: Guoxia Sun
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/4/606
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spelling doaj-a85329ea3cb24952a853180d7f68e1e72020-11-25T02:23:41ZengMDPI AGSymmetry2073-89942020-04-011260660610.3390/sym12040606Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python TechnologyGuoxia Sun0School of Tourism Culture, Tourism College of Changchun University, Changchun 130607, ChinaSymmetries play very important roles in the analysis of cognitive and emotional attitudes. The analysis with Python technology, including optimized artificial intelligence technology, is designed on the basis of symmetry principles. Destination image perception as a branch of destination image research is of great significance to tourists’ decision-making and destination image building. Ice-snow tourism is a hot topic nowadays, and research on perceptions of images of ice-snow tourism has become a focus. In this paper, python programming was used to crawl online travel journals and reviews about Jilin province’s ice-snow tourism on the Internet to analyze the frequency of frequently used words, their classification, word cloud and co-occurrence network, and other aspects of image perception, and proceed to the emotional perception of and emotional attitude to the emotional images and an overall image analysis. The study found that: (1) Perceptions of images of ice-snow tourism can be divided into five categories: tourism attractions, tourism activities, tourism facilities, tourism features and the tourism service environment. The frequency of tourism attractions is the highest, followed by tourism facilities and the tourism service environment. “Changbai Mountain” and “rime” are the core words, that is, tourists are most impressed by the scenic spot and landscape of “Changbai Mountain and rime.” (2) Positive emotional expressions accounted for 67.23% of perceptions of images of ice-snow tourism. Tourists gave a positive evaluation for Changbai Mountain, the snow landscape of Tianchi and skiing facilities. Meanwhile, passive emotional expressions accounted for 21.07% and tourists gave passive evaluations for travel, transportation, accommodation and catering. (3) Tourists spoke highly of overall images of ice-snow tourism in Jilin Province but few were willing to revisit. In the conclusion, strategies are put forward to improve image perceptions of ice-snow tourism and promote the sustainable development of ice and snow tourism.https://www.mdpi.com/2073-8994/12/4/606artificial intelligenceice-snow tourismsustainable developmentPythontext mining
collection DOAJ
language English
format Article
sources DOAJ
author Guoxia Sun
spellingShingle Guoxia Sun
Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
Symmetry
artificial intelligence
ice-snow tourism
sustainable development
Python
text mining
author_facet Guoxia Sun
author_sort Guoxia Sun
title Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
title_short Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
title_full Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
title_fullStr Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
title_full_unstemmed Symmetry Analysis in Analyzing Cognitive and Emotional Attitudes for Tourism Consumers by Applying Artificial Intelligence Python Technology
title_sort symmetry analysis in analyzing cognitive and emotional attitudes for tourism consumers by applying artificial intelligence python technology
publisher MDPI AG
series Symmetry
issn 2073-8994
publishDate 2020-04-01
description Symmetries play very important roles in the analysis of cognitive and emotional attitudes. The analysis with Python technology, including optimized artificial intelligence technology, is designed on the basis of symmetry principles. Destination image perception as a branch of destination image research is of great significance to tourists’ decision-making and destination image building. Ice-snow tourism is a hot topic nowadays, and research on perceptions of images of ice-snow tourism has become a focus. In this paper, python programming was used to crawl online travel journals and reviews about Jilin province’s ice-snow tourism on the Internet to analyze the frequency of frequently used words, their classification, word cloud and co-occurrence network, and other aspects of image perception, and proceed to the emotional perception of and emotional attitude to the emotional images and an overall image analysis. The study found that: (1) Perceptions of images of ice-snow tourism can be divided into five categories: tourism attractions, tourism activities, tourism facilities, tourism features and the tourism service environment. The frequency of tourism attractions is the highest, followed by tourism facilities and the tourism service environment. “Changbai Mountain” and “rime” are the core words, that is, tourists are most impressed by the scenic spot and landscape of “Changbai Mountain and rime.” (2) Positive emotional expressions accounted for 67.23% of perceptions of images of ice-snow tourism. Tourists gave a positive evaluation for Changbai Mountain, the snow landscape of Tianchi and skiing facilities. Meanwhile, passive emotional expressions accounted for 21.07% and tourists gave passive evaluations for travel, transportation, accommodation and catering. (3) Tourists spoke highly of overall images of ice-snow tourism in Jilin Province but few were willing to revisit. In the conclusion, strategies are put forward to improve image perceptions of ice-snow tourism and promote the sustainable development of ice and snow tourism.
topic artificial intelligence
ice-snow tourism
sustainable development
Python
text mining
url https://www.mdpi.com/2073-8994/12/4/606
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