基于社交媒体沟通的公共情绪特征提取算法的应用,用于对自然灾害的公众论分析
1Institute of Disaster Prevention, School of Information Engineering, Langfang, Hebei, China.
PeerJ. Computer science
|June 22, 2023
概括
本研究介绍了一种社交媒体分析方法,以了解自然灾害期间的公众情绪. 该系统准确地识别了公众论类别,有助于应对灾害和重建工作.
科学领域:
- 管理自然灾害的管理.
- 社交媒体分析 社交媒体分析
- 公众情绪分析 公众情绪分析
背景情况:
- 自然灾害是不可预测的,带来了重大的社会和经济挑战.
- 有效的论管理和灾后重建至关重要.
- 社交媒体平台为公众情绪提供了有价值的实时洞察力.
研究的目的:
- 开发一个智能系统,利用社交媒体数据在自然灾害期间分析公众意见.
- 提取公众情绪特征并实时识别公众情绪.
- 了解灾难事件期间公众的需求和需求.
主要方法:
- 一种基于情感特征提取的论分析方法.
- 利用变压器技术在社交媒体数据中感知情绪.
- 开发自然灾害公众论分析系统,整合情绪数据.
主要成果:
- 拟议的算法在对自然灾害的公众意见进行分类时,达到90.54%的准确率.
- 该系统能够智能识别和收集公众情绪.
- 实现了灾难情况和公共需求的实时解构.
结论:
- 开发的系统有效地通过社交媒体分析与自然灾害相关的公众情绪.
- 这种方法支持针对灾难应对和恢复的知情决策.
- 实时监测公众论可以提高灾害管理策略.
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