Applying QNLP to sentiment analysis in finance

This repository contains two working examples on how to train a quantum-enhanced LSTM (QLSTM) and a DisCoCat model.

Both training examples are shown in the training_qlstm.ipynb and training_discocat.ipynb notebooks and use the data sets from the data directory.

Setup

Create a Python 3.x virtual environment and install the dependencies:

pip install -r requirements.txt