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unstructured/examples/sec-sentiment-analysis/README.md
Matt Robinson d9c035edb1
docs: no more bricks (#1967) 
### 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>
2023-11-02 09:43:26 -05:00

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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.