This research aims to utilize a deep learning algorithm to construct a text classification model that can distinguish between negative and positive sentiment data. Specifically, we will train a binary ...

Abstract: General language model BERT pre-trained on cross-domain text corpus ... to turn the classification task into a binary sentence-pair one, aiming to address the limited training data problem ...

The data was preprocessed and tokenised for BERT classification. After this, a TensorFlow input pipeline is created, and a BERT model for text classification is trained and evaluated.

Abstract: General language model BERT pre-trained on cross-domain text corpus ... to turn the classification task into a binary sentence-pair one, aiming to address the limited training data problem ...