zensols.nlp 0.1.1

A utility library to assist in parsing natural language text.

Zensols Natural Language Parsing

This framework wraps the spaCy framework and creates features. The motivation is to generate features from the parsed text in an object oriented fashion that is fast and easy to pickle. Other features include:

• Token normalization as a stream of strings by lemmatization, stop word and/or punctuation filters, up/down casing, porter stemming and others.
• Detached features that are safe and easy to pickle to disk.
• Configuration drive parsing and token normalization using configuration factories.
• Pretty print functionality for easy natural language feature selection.

Documentation

• Framework documentation
• Natural Language Parsing
• List Token Normalizers and Mappers

Obtaining / Installing

1. The easist way to install the command line program is via the pip installer: pip3 install zensols.nlp
2. Install at least one spaCy model: python -m spacy download en_core_web_sm

Binaries are also available on pypi.

Attribution

This project, or example code, uses:

• spaCy for natural language parsing
• msgpack and smart-open for Python disk serialization
• nltk for the porter stemmer functionality

Changelog

An extensive changelog is available here.

License

MIT License

Copyright (c) 2020 - 2021 Paul Landes