情绪数据集标记为马其顿语语言的语言资源
Sofija Kochovska1, Jernej Vičič1, Branko Kavšek1
1University of Primorska, FAMNIT, Glagoljaska 8, 6000 Koper, Slovenia.
Data in brief
|January 21, 2026
概括
本研究介绍了马其顿语的情感词典,用于基于规则的情感分析. 数据集包括注释词,停止词和极性转换器,以增强自然语言处理任务.
科学领域:
- 计算语言学 计算语言学
- 斯拉夫语言学的语言学
背景情况:
- 马其顿语是南斯拉夫语言之一,具有独特的语法特征,如推迟确定的定词和缺乏语法案例.
- 这些特征为自然语言处理 (NLP) 任务带来了独特的挑战和机遇.
研究的目的:
- 为马其顿语开发一个基本的情感注释词典.
- 为了支持基于规则的情绪分析和更广泛的NLP应用,Macedonian.
主要方法:
- 两份情感注释词汇清单的汇编.
- 包括马其顿语的停止词.
- 创建肯定的和非肯定的单词 (AnAwords) 列表,包括加剧器和减小器.
- 开发一个极性转移者名单.
主要成果:
- 一个全面的马其顿语情绪词典数据集.
- 数据集包括核心情绪词,停止词,AnAwords和极性转换器.
- 这些材料的结构是为了在基于规则的情绪分析中直接应用.
结论:
- 这本马其顿语情感词典是情感分析的宝贵资源.
- 数据集的组件可以用于除了情绪分析之外的各种NLP任务.
- 这项工作有助于为马其顿语等低资源语言开发NLP工具.
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