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数据集的转录印尼站立喜剧视频与观众的笑声注释来自Kompas TV的YouTube频道的数据集
Supriyono1,2, Aji Prasetya Wibawa1, Suyono3
1Department of Electrical Engineering and Informatics, Faculty of Engineering, Universitas Negeri Malang, Jl. Semarang no 5, Malang 65145, Indonesia.
Data in brief
|October 23, 2025
概括
这个数据集为NLP研究提供印尼站立喜剧成绩单. 它包括超过280万个单词和笑声事件,以推进幽默检测和低资源语言研究.
科学领域:
- 计算语言学 计算语言学
- 人工智能的人工智能
- 社会语言学 社会语言学
背景情况:
- 大规模数据集对于开发先进的自然语言处理 (NLP) 模型至关重要.
- 现有的印尼语语体有限,特别是在喜剧等非正式的口语领域.
- 幽默感知和语音情感识别需要注释的口语内容.
研究的目的:
- 编制和发布一个综合数据集的印尼站立喜剧成绩单.
- 促进研究在诸如幽默检测,语音情感识别和文化研究等领域的研究.
- 支持为低资源语言和非正式口语数据开发NLP模型.
主要方法:
- 从Kompas TV的YouTube频道搜索了3934个印度尼西亚站立喜剧视频.
- 截稿收藏,包括超过280万个单词和17394个注释的笑声事件.
- 数据预处理,包括删除时间,规范化和清理NLP适用性.
主要成果:
- 一个数据集3934印度尼西亚站立喜剧视频与注释成绩单和笑声事件.
- 清洁的成绩单适用于各种下游的NLP任务,包括情绪分析和总结.
- 对于低资源语言NLP和计算幽默研究的宝贵资源.
结论:
- 该数据集解决了印尼语语体中的重大差距,特别是在幽默和娱乐方面.
- 它为推进印度尼西亚的计算语言学,人工智能和社会语言学研究提供了基础.
- 这种公开可访问的资源促进了幽默检测,情感识别和非正式语音处理方面的研究.
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