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 ...

Many natural language processing models have been proposed to solve the sentiment classification problem. However, most of them have focused on binary sentiment classification. In this paper, we use a ...

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.