Recent recollected data suggests that it is possible to automatically detect events that may negatively affect the most vulnerable parts of our society, by using any communication technology like social networks or messaging applications. This research consolidates and prepares a corpus with Spanish bullying expressions taken from Twitter in order to use them as an input to train a convolutional neuronal network through deep learning techniques. As a result of this training, a predictive model was created, which can identify Spanish cyberbullying expressions such as insults, racism, homophobic attacks, and so on.

翻译：近期收集的数据表明，通过社交媒体或即时通讯应用等通信技术，可自动检测可能对社会最脆弱群体产生负面影响的事件。本研究整合并构建了一个包含从Twitter采集的西班牙语欺凌表达语料库，将其作为输入数据，通过深度学习技术训练卷积神经网络。训练最终构建出能够识别西班牙语网络欺凌表达的预测模型，包括侮辱性言论、种族歧视、恐同攻击等类别。