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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>
13 lines
641 B
Markdown
13 lines
641 B
Markdown
## SEC Sentiment Analysis Model
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This directory contains an example of how to use the SEC API, the Unstructured SEC pipeline API,
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and several functions from the `unstructured` library to train a sentiment analysis model for the
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risk factors section of S-1 filings. To get started, use the following steps:
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- Ensure you have Python 3.8 or higher installed on your system
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- Create a new Python virtual environment
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- Run `pip install -r requirements.txt` to install the dependencies
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- Run `PYTHONPATH=. jupyter notebook` from this directory to launch the notebook
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At this point, you'll be able to run the sentiment analysis example notebook.
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