Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)

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Research on Tourists Characteristics Based on Big Data Analysis in Cultural Tourism

Authors
Siwei Dong1, Shan Lu1, *
1Xi’an International Studies University, Xi’an, China
*Corresponding author. Email: 2357741763@qq.com
Corresponding Author
Shan Lu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-064-0_21How to use a DOI?
Keywords
cultural tourism; big data; online travel notes; tourist portrait
Abstract

Due to the fierce competition in the cultural tourism market, it is very necessary for tourism enterprises to accurately grasp the characteristics of tourists. In technological contexts, the continued development of information and communication technologies has enabled travel enterprise to gain in-depth knowledge about their consumers. This value is generated from collecting and analyzing user generated content what is termed ‘big data’. Based on the multi-dimensional characteristics of online travel agency users, text mining and multinomial logistic regression model are used in this paper to construct tourist portraits in different groups. The result shows that the tourists are mainly divided into four groups, and the differences in the characteristics between various groups are obvious. According to the key user’s characteristics, suggestions related to online travel agency user management and tourist attractions promotion are put forward.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-064-0
ISSN
2589-4900
DOI
10.2991/978-94-6463-064-0_21How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Siwei Dong
AU  - Shan Lu
PY  - 2022
DA  - 2022/12/27
TI  - Research on Tourists Characteristics Based on Big Data Analysis in Cultural Tourism
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 181
EP  - 187
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_21
DO  - 10.2991/978-94-6463-064-0_21
ID  - Dong2022
ER  -