An Introduction to Text Summarization using the TextRank Algorithm (with Python implementation)
Introduction
Text Summarization is one of those applications of Natural Language Processing (NLP) which is bound to have a huge impact on our lives. With growing digital media and ever growing publishing – who has the time to go through entire articles / documents / books to decide whether they are useful or not? Thankfully – this technology is already here.
Have you come across the mobile app inshorts? It’s an innovative news app that converts news articles into a 60-word summary. And that is exactly what we are going to learn in this article — Automatic Text Summarization.
Automatic Text Summarization is one of the most challenging and interesting problems in the field of Natural Language Processing (NLP). It is a process of generating a concise and meaningful summary of text from multiple text resources such as books, news articles, blog posts, research papers, emails, and tweets.
The demand for automatic text summarization systems is