bert-movie-reviews-sentiment-classifier

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

What's this?

This is a example of building a Movie Reviews Sentiment classifier with Google's BERT (Bidirectional Encoder Representations from Transformers) NLP Language Model.

Requirements

This code requires scikit-learn, tensorflow-gpu, tensorflow-hub, bert-tensorflow. The code is compatibile with TF <= 1.1.50 and latest available BERT model on Tensorflow Hub. To use the cpu version please install tensorflow==1.15.0.

pip install scikit-learn
pip install tensorflow-gpu==1.15.0
pip install tensorflow-hub
pip install bert-tensorflow

How to Run

To run this project you can

• Open the IPython Notebook src/bert_sentiment_classifier-local.ipynb in your Juypter Notebook or

• Import src/bert_sentiment_classifier.ipynb into Google's Colab with GPU backend.

• Open the Pyhon Interactive src/bert_sentiment_classifier.py in VisualStudio Code. See here how it works with Jupyter Notebooks and Code.