根据BERT的情绪分析,消费者对采用太阳能能源的犹
Asif Jabbar1, Jingbo Yuan2, Ala'a R Al-Shamasneh3
1College of Management, Shenzhen University, Shenzhen, China.
Scientific reports
|February 11, 2026
概括
高成本和可靠性问题阻碍了采用太阳能. 这项研究使用人工智能来分析公众情绪,确定加速太阳能接受的关键障碍.
科学领域:
- 环境科学 环境科学
- 计算机科学 计算机科学
- 社会学 社会学 社会学
背景情况:
- 采用太阳能对减缓气候变化和能源安全至关重要.
- 障碍包括高成本,可靠性质疑和政策不确定性.
- 了解公众的看法是克服这些采用障碍的关键.
研究的目的:
- 开发和应用混合情绪分析框架来分析公众对太阳能的看法.
- 根据消费者生成的内容,识别和量化阻碍太阳能采用的主要障碍.
- 为利益相关者提供可操作的见解,以提高太阳能能源的接受度.
主要方法:
- 一个混合情绪分析框架,将微调的BERT模型与TF-IDF功能增强相结合.
- 分析来自社交媒体,评论和论坛的各种消费者生成数据.
- 使用F1分数 (0.85验证,0.82测试) 和可解释性的累积增益分析进行验证.
主要成果:
- 该框架准确地捕捉了关于太阳能的微妙情绪.
- 成本 (41%) 是主要的负面情绪驱动因素,其次是可靠性 (28%) 和环境怀疑 (19%).
- 高信任度过提高了关键采用障碍的优先级.
结论:
- 情绪分析有效地确定了太阳能能源采用的重大障碍.
- 针对成本和可靠性的有针对性的干预措施对于提高消费者接受度至关重要.
- 调查结果为决策者,行业和倡导者提供指导,以促进太阳能部署.
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