austinserif / lazy-reader

Lightweight library for turning keywords into entity profiles with spaCy nlp

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Lazy-Reader

@austinserif

Summary

The purpose of this library is to provide light-weight methods for building entity-relationship profiles using the spaCy(https://spacy.io/) natural language processing API. Lazy-Reader takes a series of keyword inputs and searches for articles related to those keywords, recursively building entity-profiles and assigning bias scores based on the number and diversity of parsed articles.

Documentation

Coming Soon!

Tests

For profile and article class tests, run python3 -m unittest -v tests/test_article.py tests/test_profile.py from directory root.

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Lightweight library for turning keywords into entity profiles with spaCy nlp


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