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Getting Started


To install from PyPi:

python3 -m pip install pytextrank
python3 -m spacy download en_core_web_sm

If you work directly from this Git repo, be sure to install the dependencies:

python3 -m pip install -r requirements.txt

Sample Usage

To use pytextrank in its simplest form:

import spacy
import pytextrank

# example text
text = "Compatibility of systems of linear constraints over the set of natural numbers. Criteria of compatibility of a system of linear Diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types systems and systems of mixed types."

# load a spaCy model, depending on language, scale, etc.
nlp = spacy.load("en_core_web_sm")

# add PyTextRank to the spaCy pipeline
doc = nlp(text)

# examine the top-ranked phrases in the document
for phrase in doc._.phrases:
    print(phrase.rank, phrase.count)

Hands-on Coding Tutorial

See the Tutorial notebooks for sample code and patterns to use when integrating pytextrank with other related libraries in Python.

Last update: 2021-03-25