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. ‘
Release history Release notifications | RSS feed
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-0.1.10.tar.gz
(4.3 kB
view details)
Built Distribution
File details
Details for the file ngram_graphs-0.1.10.tar.gz.
File metadata
- Download URL: ngram_graphs-0.1.10.tar.gz
- Upload date:
- Size: 4.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5e0b580fe8866019a015dbc043997ada54c896e892a80a5a0ff9faaeb1c1820f |
|
| MD5 | 75646f01fc4338ea5067c0781d6bfd9b |
|
| BLAKE2b-256 | a2b10e47255d7403843569ea4fb19fa2e48fe60e7f6a720cc8960bd618bf349f |
File details
Details for the file ngram_graphs-0.1.10-py3-none-any.whl.
File metadata
- Download URL: ngram_graphs-0.1.10-py3-none-any.whl
- Upload date:
- Size: 4.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.23.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 013c8ce5d8524a274f7ceea40020b4f0bb1ab90c9e5421176e851a1f7b33aa8b |
|
| MD5 | 6ea6763675bcf92f1dcf0622997b525b |
|
| BLAKE2b-256 | f8f9e276709a1c4ee6645395e15b5bc81c68b3fa8b155e529e9fbc7358fcaf70 |
