skipchunk 0.9.8

Easy natural language concept search for the masses.

# Skipchunk

[](https://pypi.python.org/pypi/skipchunk)

[](https://travis-ci.org/binarymax/skipchunk)

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Easy natural language concept search for the masses.

Out of the box it provides a hassle-free autosuggest for any corpus from scratch, and latent knowledge graph extraction and exploration.

• Free software: MIT License

• Documentation: https://skipchunk.readthedocs.io.

## Install

`bash pip install skipchunk python -m spacy download 'en_core_web_lg' python -m nltk.downloader wordnet `

You also need to have Solr or Elasticsearch installed and running somewhere! The current supported version is 8.4.1, but it might work on other versions.

## Use It!

See the `./example/` folder for an end-to-end OSC blog load and query

## Features

• Identifies all the noun phrases and verb phrases in a corpus

• Indexes these phrases in Solr for a really good out-of-the-box autosuggest

• Structures the phrases as a graph so that concept-relationship-concept can be easily found

• Keeps enriched content ready for reindexing

## Credits

Developed by Max Irwin, OpenSourceConnections https://opensourceconnections.com

All the blog posts contained in the example directory are copyright OpenSource Connections, and may not be redistributed without permission

History

0.1.0 (2019-06-18)

• Cookie-cutted

0.9.0 (2020-09-25)

• First release on PyPI.