Machine learning and statistics with python

 Introduction: We have described spacy in part1 , part2 , part3 , and part4 . In this post, we will describe the pytextrank project based on spacy structure which solves phrase extraction and text summarization. Pytextrank is written by Paco nathan , an american computer scientist, based on texas. Pytextrank is mainly interesting for me for two reasons: (1) implementation of the textrank algorithm very nicely in a spacy extension format (2) the easy usage of the package which properly abstracts out all the complexity of the package from the user and can be used with little to no understanding of the underlying algorithm. Now, as I may have given enough motivation to read and use this package; we will explore the basic usage first, and then dive in to see the inner working; which will be the more advanced part of this post. How to use pytextrank: pytextrank can be installed via pip3 install pytextrank as it is included in the pypi listing. Now once you install it in that manner; t...