https://github.com/eczy/text-graphs

https://github.com/eczy/text-graphs

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• Host: GitHub
• URL: https://github.com/eczy/text-graphs
• Owner: eczy
• Created: 2020-02-11T06:36:33.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2020-02-26T18:56:40.000Z (almost 5 years ago)
• Last Synced: 2024-10-27T17:37:55.500Z (3 months ago)
• Language: Python
• Size: 45.9 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Text Graphs

A simple example of graph generation from text.

We use the part-of-speech tagging and syntactic dependency parsing built into the `spaCy` library in order to extract nouns, adjectives, and verbs from a text corpus along with the relationships between them. We then use these relationships to generate a graph structure among nouns and adjectives where directed edges entail either a relation (verb) or a description (adjective, clausal modifier, compound noun).

# Example

To run this analysis on the provided sample text, run the following commands:

```

pip install -r requirements.txt

python -m spacy download en_core_web_sm

python text_graph.py sample.txt sample_graph.csv

python viz.py sample_graph.csv sample_graph.png

```

You should now have a csv with source, destination, and edge type columns along with a graph similar to the following:

![Sample Graph Output](/img/sample.png)