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: Apache 2.0 license
- Documentation: https://skipchunk.readthedocs.io.
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.
See the ./example/
folder for an end-to-end OSC blog load and query
- 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
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