论文标题
用伯特和手套嵌入的推文中的讽刺检测
Sarcasm Detection in Tweets with BERT and GloVe Embeddings
论文作者
论文摘要
讽刺是一种沟通形式，在这种交流中，该人与他的实际含义相反。本质上是模棱两可的。在本文中，我们建议将机器学习技术与Bert和Glove嵌入使用，以检测推文中的讽刺。在提取嵌入式之前对数据集进行预处理。提出的模型还使用了用户对其实际响应做出反应的上下文。
Sarcasm is a form of communication in whichthe person states opposite of what he actually means. It is ambiguous in nature. In this paper, we propose using machine learning techniques with BERT and GloVe embeddings to detect sarcasm in tweets. The dataset is preprocessed before extracting the embeddings. The proposed model also uses the context in which the user is reacting to along with his actual response.
