Abstract
In this paper, I discuss the testing of the Arabic Metaphor Corpus (AMC) [1] using newly designed automatic tools for sentiment classification for AMC based on semantic tags. The tool incorporates semantic emotional tags for sentiment classification. I evaluate the tool using standard methods, which are F-score, recall, and precision. The method is to show the impact of Arabic online metaphors on sentiment through the newly designed tools. To the best of our knowledge, this is the first approach to conduct sentiment classification for Arabic metaphors using semantic tags to find the impact of the metaphor.
Abstract (translated)
在这篇论文中，我讨论了使用新设计的自动工具对阿拉伯语隐喻语料库（AMC）[1]进行测试的过程。这些工具是基于语义标签为AMC专门设计的情感分类工具，并且集成了用于情感分类的语义情感标记。我通过标准方法（即F值、召回率和精确度）评估了该工具的效果。研究的方法旨在展示阿拉伯语在线隐喻对情绪的影响，使用新设计的工具来实现这一目标。据我们所知，这是首次采用基于语义标签的情感分类方法来分析阿拉伯语隐喻对其情感影响的研究。
URL
https://arxiv.org/abs/2504.19590
