Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method
IntroductionSafety is the lifeline of tourism development. The article’s goal is to examin how Chinese tourists perceive risk when travelling aboard.MethodsIn order to create the initial corpus, this study first uses “outbound tourism“as the key word to crawl the question and answer (hereinafter ref...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-12-01
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Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1091065/full |
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author | Caihua Yu Yilin Zhao |
author_facet | Caihua Yu Yilin Zhao |
author_sort | Caihua Yu |
collection | DOAJ |
description | IntroductionSafety is the lifeline of tourism development. The article’s goal is to examin how Chinese tourists perceive risk when travelling aboard.MethodsIn order to create the initial corpus, this study first uses “outbound tourism“as the key word to crawl the question and answer (hereinafter referred to as “Q & A”) data from 4 Chinese online travel operator platforms, then preprocesses the “Q & A” data in Python. Secondly, after being extracted, the feature words are converted into the word vector model using the word vector method based on neural network language model. Finally, the word vectors are clustered and classified.ResultsIt is found that there are six dimensions of risk perception of Chinese tourists’ outbound tourism, namely traffic risk, planning risk, service risk, communication risk, financial risk and functional risk.DiscussionImportant and practical information for government and tourism enterprises is provided to accurately grasp the risk perception of Chinese tourists’ outbound tourism and continuously improve the supply of tourism risk information. |
first_indexed | 2024-04-11T05:33:46Z |
format | Article |
id | doaj.art-7448bd59c257453181dbddc0bd7e6b46 |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-04-11T05:33:46Z |
publishDate | 2022-12-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-7448bd59c257453181dbddc0bd7e6b462022-12-22T15:45:58ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-12-011310.3389/fpsyg.2022.10910651091065Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector methodCaihua YuYilin ZhaoIntroductionSafety is the lifeline of tourism development. The article’s goal is to examin how Chinese tourists perceive risk when travelling aboard.MethodsIn order to create the initial corpus, this study first uses “outbound tourism“as the key word to crawl the question and answer (hereinafter referred to as “Q & A”) data from 4 Chinese online travel operator platforms, then preprocesses the “Q & A” data in Python. Secondly, after being extracted, the feature words are converted into the word vector model using the word vector method based on neural network language model. Finally, the word vectors are clustered and classified.ResultsIt is found that there are six dimensions of risk perception of Chinese tourists’ outbound tourism, namely traffic risk, planning risk, service risk, communication risk, financial risk and functional risk.DiscussionImportant and practical information for government and tourism enterprises is provided to accurately grasp the risk perception of Chinese tourists’ outbound tourism and continuously improve the supply of tourism risk information.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1091065/fullminingrisk perception dimensionsoutbound tourismChinaword vector method |
spellingShingle | Caihua Yu Yilin Zhao Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method Frontiers in Psychology mining risk perception dimensions outbound tourism China word vector method |
title | Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method |
title_full | Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method |
title_fullStr | Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method |
title_full_unstemmed | Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method |
title_short | Mining of risk perception dimensions of Chinese tourists’ outbound tourism based on word vector method |
title_sort | mining of risk perception dimensions of chinese tourists outbound tourism based on word vector method |
topic | mining risk perception dimensions outbound tourism China word vector method |
url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1091065/full |
work_keys_str_mv | AT caihuayu miningofriskperceptiondimensionsofchinesetouristsoutboundtourismbasedonwordvectormethod AT yilinzhao miningofriskperceptiondimensionsofchinesetouristsoutboundtourismbasedonwordvectormethod |