豪萨语言的词典数据集.
1Computer Science Department, African University of Science and Technology, Abuja, Nigeria.
Data in brief
|February 15, 2024
概括
研究人员为豪萨语创建了一个新的情感分析数据集. 这种增强词汇资源有助于自然语言处理低资源语言,如豪萨语.
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
- 非洲语言 非洲语言
背景情况:
- 情感分析研究往往缺乏对低资源语言的资源.
- 由于有限的数字数据,豪萨语面临着独特的挑战.
研究的目的:
- 开发和呈现一个全面的情感分析数据集,用于豪萨语.
- 为了解决Hausa情绪分析标记数据的稀缺性.
主要方法:
- 使用豪萨语字典构建了一个增强的词典.
- 应用数据增强技术来扩大数据集大小.
- 手动注释的情绪极性数据 (正面,负面,中立).
主要成果:
- 创建了一个数据集,有14663条条目:4,154条是正面的,4,310条是负面的,和6,199条是中性的.
- 数据集提供了情绪极性的平衡表现.
- 成功增强了基于词典的数据集,用于情绪分析.
结论:
- 开发的豪萨情绪分析数据集是NLP研究的宝贵资源.
- 这一数据集将为Hausa社交媒体和产品评论开发情绪分析模型提供便利.
- 对低资源语言情绪分析领域做出了重大贡献.
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