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13 lines
638 B
Markdown
13 lines
638 B
Markdown
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## 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 bricks 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 enviornment
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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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