Tourism Network Public Opinion Topic Mining and Evolution Analysis

DOI

10.2991/978-2-38476-400-6_21How to use a DOI?

Keywords

Network public opinion; Text mining; Sentiment analysis

Abstract

With the popularity of the Internet and the rise of social media, online public opinion has an increasingly significant impact on tourism. Taking the online public opinion of snow and ice tourism in Northeast China from 2023 to 2024 as an example, this paper collects relevant data through Sina Weibo platform, uses life cycle theory and text mining technology to conduct in-depth analysis on the topic mining and evolution of tourism online public opinion, and reveals the discussion topics of different communication cycles and their evolution trends. It is found that the topic and emotion of tourism network public opinion have significant differences in different life cycle stages, and the intensity of each topic in the brewing stage fluctuates sharply. The emotional tendency is mainly positive and neutral, and the occasional refund event causes negative public opinion.

Copyright

© 2025 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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TY  - CONF
AU  - Yang Yang
AU  - Yunong Mao
PY  - 2025
DA  - 2025/05/15
TI  - Tourism Network Public Opinion Topic Mining and Evolution Analysis
BT  - Proceedings of the 2nd International Conference on Educational Development and Social Sciences (EDSS 2025)
PB  - Atlantis Press
SP  - 166
EP  - 173
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-400-6_21
DO  - 10.2991/978-2-38476-400-6_21
ID  - Yang2025
ER  -