Financial Sentiment Analysis : OpenAI, and Llama and GAI (Amazon Bedrock)

In this project, I am testing the accuracy of all the models and see which one is better for interpreting financial documents/news

BERT & BART

Machine Learning Project that uses BERT Deep Learning and Encoder-Decoder NLP NB : This ML model is Novel and may occasionally generate wrong Data

Clone the repo to your local machine ; Open in VScode (Have Jupyter Environment installed)
Open Terminal and Run pip install requirements.txt
In the same terminal window, run trainer.py and then run streamlit run app.py
As on the window above, a stock ticker is the 4-code stock symbol i.e APPL
The model takes a few minutes to train and output per stock ticker
To understand deeply how the model works, Investigate the .ipynb file

The Framework maybe inaccurate for some sentiments analysis so the analyst needs to confirm before making final decision

under construction

Under construction