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### Summary We no longer use the "bricks" terminology for partioning functions, etc in the library. This PR updates various references to bricks within the repo and the docs. This is just an initial pass to swap the terminology out, it'll likely be helpful to reorganize the docs a bit as well. --------- Co-authored-by: qued <64741807+qued@users.noreply.github.com> Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
SEC Sentiment Analysis Model
This directory contains an example of how to use the SEC API, the Unstructured SEC pipeline API,
and several functions 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.