Skip to main content

Python implimentation of TextRank for text document NLP parsing and summarization

Project description

Python implementation of TextRank, based on the Mihalcea 2004 paper.

Modifications to the original algorithm by Rada Mihalcea, et al. include:

  • fixed bug; see Java impl, 2008

  • use of lemmatization instead of stemming

  • verbs included in the graph (but not in the resulting keyphrases)

  • named entity recognition

  • normalized keyphrase ranks used in summarization

The results produced by this implementation are intended more for use as feature vectors in machine learning, not as academic paper summaries.

Inspired by Williams 2016 talk on text summarization.

Example Usage

See PyTextRank wiki

Dependencies and Installation

This code has dependencies on several other Python projects:

To install from PyPi:

pip install pytextrank

To install from this Git repo:

pip install -r requirements.txt

After installation you need to download a language model:

python -m nltk.downloader punkt
python -m nltk.downloader wordnet
python -m textblob.download_corpora
python -m spacy.en.download all

Also, the runtime depends on a local file called stop.txt which contains a list of stopwords. You can override this in the normalize_key_phrases() call.

Kudos

@htmartin @williamsmj @eugenep @mattkohl @vanita5 @HarshGrandeur @mnowotka @kjam

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

pytextrank-1.0.1.tar.gz (8.9 kB view details)

Uploaded Source

File details

Details for the file pytextrank-1.0.1.tar.gz.

File metadata

  • Download URL: pytextrank-1.0.1.tar.gz
  • Upload date:
  • Size: 8.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for pytextrank-1.0.1.tar.gz
Algorithm Hash digest
SHA256 ea76f42716a92ab0d30cf1765e5d824d416462b7f54d6ac1381f40270d27362f
MD5 bd302ee0dfdd9508f72d4dba5d8252d1
BLAKE2b-256 80f41753133243756d85fee8afdcc62643552b2ec969e4df62153aeacdf6a6e0

See more details on using hashes here.

Supported by

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