Network Public Opinion Characteristics Based on Sentiment Analysis and Emergency Governance: A Case Study of Haidilao's “Hotpot Urination Incident” in 2025
Abstrak
In the era of social media, corporate crisis management faces new challenges, particularly the speedaccuracy trade-off between traditional manual monitoring and the dynamic evolution of public sentiment. This study proposes a sentiment analysis-driven framework for monitoring online public opinion, using Haidilao's 2025 “Hotpot Urination Incident” as a case. We collected 195,432 Weibo comments to analyze emotional characteristics, keyword distributions, temporal patterns, and propagation dynamics. Sentiment polarity analysis revealed: neutral (66.51%), negative (30.99%), and positive (2.50%) emotions. Based on these findings, we propose a four-dimensional governance framework (government, platforms, media, public) for crisis response, offering actionable insights for corporate early-warning systems.
Penulis (1)
Wei Xiong
Akses Cepat
PDF tidak tersedia langsung
Cek di sumber asli →- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- Semantic Scholar
- DOI
- 10.1109/IMCEC66174.2025.11331858
- Akses
- Open Access ✓