情绪数据集标记为波斯尼亚语语言的语言资源
Sead Jahić1, Jernej Vičič1,2
1University of Primorska, FAMNIT, Glagoljaska 8, 6000 Koper, Slovenia.
Data in brief
|March 27, 2024
概括
这项研究增强了波斯尼亚语的自然语言处理 (NLP),通过结合强化器和减弱器等带有情感的单词. 这种方法可以提高波斯尼亚语的情感分析准确度.
科学领域:
- 语言学的语言学.
- 计算机科学 计算机科学
- 计算语言学 计算语言学
背景情况:
- 波斯尼亚语是西南斯拉夫语的一种语言,有数以百万计的说者.
- 标准自然语言处理 (NLP) 经常忽视细微的语言元素.
- 波斯尼亚语中的特定单词类型,如强化词和减小词,会影响文本的含义.
研究的目的:
- 为了改善波斯尼亚语的情感分析.
- 将特定的语言特征纳入波斯尼亚语的NLP模型.
- 为波斯尼亚情绪分析开发一个基础数据集.
主要方法:
- 使用了情感注释的词汇列表.
- 包括一个停止词列表.
- 创建了肯定和非肯定词 (AnAwords) 的数据集,专注于强化器和减弱器.
主要成果:
- 开发了一个用于分析波斯尼亚情绪的数据集.
- 证明了除了停止词之外,包括带有情感的词语的重要性.
- 在波斯尼亚语中为更准确的NLP任务奠定了基础.
结论:
- 结合强化器,减弱器和其他与情感相关的单词对于有效的波斯尼亚NLP至关重要.
- 构建的数据集作为高级情绪分析的基础.
- 这项研究提高了博斯尼亚语NLP应用程序的能力.
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