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unstructured/examples/sec-sentiment-analysis/README.md
Roman Isecke b37b4689bc
drop python3.8 (#2372) 
### Description
Remove all uses of python3.8

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Co-authored-by: ryannikolaidis <1208590+ryannikolaidis@users.noreply.github.com>
Co-authored-by: rbiseck3 <rbiseck3@users.noreply.github.com>
2024-01-09 23:37:30 +00:00

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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 3.10 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.