Research on Image Perception Measurement of Air Tourism Based on Network Text Mining

Xing Lei, Xu Xiaxin

2025

Abstract

Perceptual measurement research plays an important role in the image of air tourism, but there is a problem of inaccurate perception. The traditional data mining algorithm cannot solve the measurement perception problem in the image of air tourism, and the effect is not satisfactory. In the wave of informatization, the tourism industry is ushering in unprecedented changes. As an important part of air tourism, its image perception directly affects consumers' choice and satisfaction. How to accurately grasp this image has become the focus of attention in the industry. As an important tool for big data analysis, online text mining is gradually revealing its great potential in this field.

Paper Citation

in Harvard Style

Lei X. and Xiaxin X. (2025). Research on Image Perception Measurement of Air Tourism Based on Network Text Mining. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 441-446. DOI: 10.5220/0013545200004664

in Bibtex Style

@conference{incoft25,
author={Xing Lei and Xu Xiaxin},
title={Research on Image Perception Measurement of Air Tourism Based on Network Text Mining},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT},
year={2025},
pages={441-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013545200004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 1: INCOFT
TI - Research on Image Perception Measurement of Air Tourism Based on Network Text Mining
SN - 978-989-758-763-4
AU - Lei X.
AU - Xiaxin X.
PY - 2025
SP - 441
EP - 446
DO - 10.5220/0013545200004664
PB - SciTePress