Text classification 是 NLP 最基本的任務,應用廣泛。例如 sentiment analysis, spam filtering, news categorization, etc. 本文聚焦 fake news detection (classifying a news as REAL or FAKE) 任務。 此處我們 detect fake news using the state-of-the-art models, 也就是 BERT. 這個 tutorial 可以 extended to really any text classification task. The Transformer is the basic building block of most current state-of-the-art …