Machine Learning

A Gentle Introduction to Text Summarization

Last Updated on August 7, 2019

Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document.

Automatic text summarization methods are greatly needed to address the ever-growing amount of text data available online to both better help discover relevant information and to consume relevant information faster.

In this post, you will discover the problem of text summarization in natural language processing.

After reading this post, you will know:

  • Why text summarization is important, especially given the wealth of text available on the internet.
  • Examples of text summarization you may encounter every single day.
  • The application and promise of deep learning methods for automatic text summarization.

Kick-start your project with my new book Deep Learning for Natural Language Processing, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started.

A Gentle Introduction to Text Summarization

A Gentle Introduction to Text Summarization
Photo by Dmitry Sumin, some rights reserved.

Overview

This post is divided into 5 parts; they are:

  1. Text Summarization
  2. What is Automatic
    To finish reading, please visit source site