基于中国政府事务的情绪分析和预测模型 微博
1School of Politics and Public Administration, Zhengzhou University, Zhengzhou, 450001, China.
Heliyon
|August 28, 2023
概括
这项研究分析了中国政府的微博及其评论,以了解公众的情绪. 开发了一个新的框架和模型来预测微博的情绪,帮助政府了解公众论.
科学领域:
- 计算社会科学 计算社会科学
- 自然语言处理自然语言处理.
- 公共政策分析 公共政策分析
背景情况:
- 目前对中国政府微博的研究侧重于情绪分类,忽视了微博评论情绪相关性.
- 了解公众对政府政策的情绪对于有效的治理和论管理至关重要.
研究的目的:
- 调查政府事务微博与相应评论的情绪之间的相关性.
- 在政府微博中开发一种新的情绪分析和预测框架.
- 为政府监测互联网公众情绪和意见指导提供见解.
主要方法:
- 建设一个大规模的政府事务微博数据集.
- 微博和评论的情绪分析,包括分析词语情绪和文本相似性.
- 开发和应用一种协作注意力回归模型,用于情绪预测.
主要成果:
- 分析显示了微博和他们的评论之间的情绪分布和差异.
- 确定了影响评论情绪的因素,包括极端的情绪内容.
- 协作注意力回归模型在情绪预测方面表现强.
结论:
- 拟议的框架为政府提供了一种有价值的工具,以了解对政策的实时公众情绪.
- 这项研究为政府相关的互联网论监测和指导提供了一个参考.
- 该研究强调了分析微博和用户评论之间的关系对于全面的情绪分析的重要性.
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