Introduction

One huge challenge when dealing with text data is that data can be huge in size and can come in various forms, such as documents, emails, and web pages. Reading and understanding such data is a cumbersome task. Also, people tend to be less patient when it comes to reading huge amounts of information; they prefer to consume information in bite-size chunks. For instance, Twitter has doubled its character limit, but it is still only 280 characters. Our interactions over Instagram, Facebook, Snapchat, and other social media platforms have got us accustomed to reading concise text.

Due to this change in habits, there is a need to reduce the volume of content that we ask people to read while still retaining the central ideas of the content. To aid this, content providers sport features such as text summaries that provide users with the gist of information.

Therefore, there is a big business need to automate text summarization. In the coming sections, we will explore text...