Fine Tuning TensorFlow Bert Model for Sentiment Analysis

Bidirectional Encoder Representations from Transformers (BERT) is a major advancement in the field of Natural Language Processing (NLP) in recent years. BERT achieves good performances in many aspects of NLP, such as text classification, text summarisation and question answering.

In this article, I will walk through how to fine tune a BERT model based on your own dataset to do text classification (sentiment analysis in my case). When browsing through the net to look for guides, I came across mostly PyTorch implementation or…