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
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 nlp.add_pipe("textrank") doc = nlp(text) # examine the top-ranked phrases in the document for phrase in doc._.phrases: print(phrase.text) print(phrase.rank, phrase.count) print(phrase.chunks)
Hands-on Coding Tutorial¶
See the Tutorial notebooks for sample code and patterns to use when integrating pytextrank with other related libraries in Python.