用机器学习技术可以预测幽默感
Hannes Rosenbusch1,2, Thomas Visser3
1Department of Psychological Methods, University of Amsterdam, Amsterdam, The Netherlands. h.rosenbusch@uva.nl.
Scientific reports
|November 4, 2023
概括
幽默研究可以预测什么.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 计算语言学 计算语言学
背景情况:
- 幽默欣赏研究的目的是预测什么让事情变得有趣.
- 现有的理论表明,通过各种因素,娱乐是可以预测的.
- 幽默研究的实际预测能力需要经验测试.
研究的目的:
- 评估幽默欣赏研究的实际价值和预测准确性.
- 评估机器学习模型在预测幽默方面的有效性.
- 确定个别变量对幽默预测的贡献.
主要方法:
- 利用机器学习,特别是增强决策树,来预测幽默的欣赏.
- 分析了个体人口和心理变量的预测准确性.
- 调查了先前评级者数据对于成功预测的必要性.
主要成果:
- 机器学习模型实现了高预测准确度的幽默欣赏,接近理论限制.
- 个别的人口统计和心理变量在预测准确度上提供了最小的改善.
- 准确的幽默预测在很大程度上依赖于同一个人之前的评分.
结论:
- 虽然机器学习是有效的,但个别变量在幽默感受方面具有有限的预测能力.
- 对于准确的幽默预测而言,先前的评级者特定数据至关重要,突出了个性化需求.
- 研究结果为内容推系统和娱乐平台提供了实用的见解.
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