Paragraph summarization based on word frequency using NLP techniques

Abstract

Extracting the main points from a long passage is a big problem. We come across hundreds of passages in our professional life daily, if they are small and concise then that's good but if there is a passage of 100 plus lines which could be condensed and delivered or explained it in a few lines it would be more excellent time-saving effortless stress-free work. We all know the essence of any paragraph can be described in just a few necessary sentences whereas the passages need more grammatical content and sentence formation which makes the passages so long. So in this paper, a new method for paragraph summarization is presented. There is continuous research and new methods are being implemented and tested to make the machine to be able to understand the text and take respective actions. In this paper, we used word frequency algorithms and NLTK methods and functions to extract the main points from a paragraph and made it available in desired language audio formats. Several novels/books are being released in audio format for ease of understanding and some websites, as well as YouTube channels, are present over the internet to explain the essence of the novels/books. There are so many passages which have a lot to read and understand but could be made simple.