MABSA:一个精心策划的马来拉语方面基于电影评论的情感分析数据集
1Department of Computer Science, School of Engineering and Technology, Pondicherry University, Puducherry, India.
Data in brief
|August 14, 2023
概括
本研究介绍了马来拉语方面基于情感分析 (MABSA) 数据集,这是分析印度地区语言用户意见的宝贵资源,特别是马来拉语电影评论.
科学领域:
- 自然语言处理自然语言处理.
- 计算语言学 计算语言学
- 情绪分析 情绪分析
背景情况:
- 越来越多地使用数字技术,需要了解印度地区语言的用户意见.
- 在可用的数据集中存在一个显著的差距,用于分析印度地区语言的情感.
- 基于方面的情绪分析 (ABSA) 对于精细的意见挖掘至关重要.
研究的目的:
- 为了解决印度地区语言中面向基于情感分析 (ABSA) 的标记数据集的缺乏.
- 介绍马来拉语电影评论的马来拉语方面基于情感分析 (MABSA) 数据集.
- 促进对低资源语言的情感分析研究.
主要方法:
- 从在线调查和社交媒体 (IMDb,Facebook,YouTube) 收集了4000个马来拉语电影评论.
- 在九个目标类别中识别和注释了7507个方面,其中有情绪极性.
- 使用了三个注释器,并使用斯皮尔曼的相关性和弗莱斯·卡帕指数进行注释器间协议分析.
主要成果:
- MABSA数据集包含4000个马来拉语电影评论,其中有7507个注释的方面.
- 发现了高度的注释者间协议,表明了可靠和高质量的数据集.
- 该数据集适用于马拉雅拉语的面向基于情感分析 (ABSA) 研究.
结论:
- MABSA数据集是马来拉语语言的面向基于情感分析 (ABSA) 的黄金标准资源.
- 这一数据集将大大促进对印度地区语言情绪分析的研究.
- 它可以更深入地了解马来拉语电影评论中表达的用户意见.
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