Skip to main content

An igraph or networkx based ngram graph library for NLP

Project description

Library for ngram graph comparison based on papers from George Giannakopoulos and Vangelis Karkaletsis. The library uses igraph to create directed and weighted graphs from documents and provides means to compare them using the distance metrics defined in ‘Giannakopoulos, George & Karkaletsis, Vangelis. (2009). N-gram graphs: Representing documents and document sets in summary system evaluation. ‘

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ngram_graphs-0.1.13.tar.gz (5.2 kB view details)

Uploaded Source

File details

Details for the file ngram_graphs-0.1.13.tar.gz.

File metadata

  • Download URL: ngram_graphs-0.1.13.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: Python-urllib/3.6

File hashes

Hashes for ngram_graphs-0.1.13.tar.gz
Algorithm Hash digest
SHA256 5d869b0a6517373962d48941aea6d75ca764b336dccd8736237ce28bc8b61d75
MD5 cade9ed6e81b3f889fa5b5d5d1478816
BLAKE2b-256 b9192453989abe945d440697ef425ab06a61f16e7dcfc780825266d1f90e52ab

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page