基于社交媒体的河南暴雨灾害负面情绪和主题分析
Analysis of Negative Emotions and Themes of Rainstorm Disaster in Henan Based on Social Media
摘要: 自然灾害对社会的整体运行和经济、民生等造成了重大的冲击，如何在灾害发生时高效地应对并实施救援是政府和救援组织面对的难题。本文对2021年7月发生在河南的暴雨灾害的微博数据进行了研究，通过使用VADER进行情感极性分析，并基于消极情绪信息进行了LDA主题模型挖掘，以此来展现暴雨灾害发生时的网络舆情，为政府和救援机构提供有效的救灾信息，为救助策略提供必要的信息支持，为减少灾害损失提供了帮助。
Abstract: Natural disasters have a great impact on the overall operation of society, economy and people’s livelihood. How to effectively respond to and implement relief in the event of disaster is a difficult problem faced by the government and relief organizations. This paper studies the microblog data of rainstorm disaster in Henan province in July 2021. VADER was used for emotional polarity analysis, and LDA theme model was mined based on negative emotional information. The study shows the network public opinion when the storm disaster occurred, to provide effective disaster relief information to the government and relief agencies, give necessary information support for rescue strategy, and provide help to reduce disaster losses.
文章引用：李梦楠, 汪明艳. 基于社交媒体的河南暴雨灾害负面情绪和主题分析[J]. 应用数学进展, 2021, 10(12): 4528-4534. https://doi.org/10.12677/AAM.2021.1012482

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