unstructured/examples/sec-sentiment-analysis/README.md

SEC Sentiment Analysis Model

This directory contains an example of how to use the SEC API, the Unstructured SEC pipeline API, and several bricks from the unstructured library to train a sentiment analysis model for the risk factors section of S-1 filings. To get started, use the following steps:

• Ensure you have Python 3.8 or higher installed on your system
• Create a new Python virtual environment
• Run pip install -r requirements.txt to install the dependencies
• Run PYTHONPATH=. jupyter notebook from this directory to launch the notebook

At this point, you'll be able to run the sentiment analysis example notebook.