Today, misogyny and xenophobia are some of the most important social problems. With the increase in the use of social media, this feeling of hatred toward women and immigrants can be more easily expressed, and therefore it can have harmful effects on social media users. For this reason, it is important to develop systems capable of detecting hateful comments automatically. In this article, we analyze the hate speech in Spanish tweets against women and immigrants conducting classification experiments using different approaches. Moreover, we create appropriate language resources for hate speech detection in Spanish.

中文翻译：

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使用语言技术检测西班牙语推文中的厌女症和仇外心理

今天，厌女症和仇外心理是一些最重要的社会问题。随着社交媒体使用的增加，这种对女性和移民的仇恨情绪更容易表达，因此会对社交媒体用户产生有害影响。因此，开发能够自动检测仇恨评论的系统非常重要。在本文中，我们分析了西班牙推文中针对女性和移民的仇恨言论，他们使用不同的方法进行了分类实验。此外，我们为西班牙语中的仇恨言论检测创建了适当的语言资源。