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unstructured/examples/spacy
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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
..
load-into-spacy.ipynb
docs: no more bricks (#1967)
2023-11-02 09:43:26 -05:00
README.md
feat: Create spacy notebook example (#593)
2023-05-17 15:42:15 -05:00
requirements.txt
feat: Create spacy notebook example (#593)
2023-05-17 15:42:15 -05:00

README.md

Loading unstructured outputs into Spacy

The following example shows how to load unstructured outputs into Spacy. This allows you to perform NLP to find important data from outputs the unstructured library has extracted. Follow the instructions here to install Spacy on your system.

Once you have installed MySQL, you can connect to MySQL with the command mysql -u root. You can create a non-root user and an unstructured_example database using the following commands:

Running the example

  1. Run pip install -r requirements.txt to install the Python dependencies.
  2. Run `jupyter-notebook to start.
  3. Run the load-into-spacy.ipynb notebook.