=================================================================================

Textrank is used to extract keywords and summarize text. The algorithm determines how closely words are related by looking at whether they follow one another. The most important terms in the text are then ranked using the PageRank algorithm. Textrank is usually compatible with the Spacy pipeline. TextRank is a Python implementation that allows for fast and accurate phrase extraction as well as extractive summarization for use in spaCy workflows. Python implementation of keyword extraction using Textrank.

The steps of extracting keywords from a document with Textrank are:
         i) To find relevant terms, the Textrank algorithm creates a word network (word graph).
         ii) To identify the relevance of each word, the Pagerank algorithm is applied to the formed network.

============================================