UPDF AI

Tool to Summerize Text

Sneha Wankar,Gudiya Prasad,2 著者,Prof. Anand Donald

2023 · DOI: 10.48175/ijarsct-14047
International Journal of Advanced Research in Science, Communication and Technology · 0 件の引用

TLDR

This project proposes to implement a web application that can summarize a text or a Wikipedia link using NLP and NLTK libraries, and aims to compare different methods of summarization.

要旨

Text summarization is the process of making a synopsis from a given text document while keeping the important information and meaning of it. Automatic summarization has become an essential method for accurately locating significant information in vast amounts of text in a short amount of time and with minimal effort. In this project, we propose to implement a web application that can summarize a text or a Wikipedia link.

We have additionally been given an opportunity to compare different methods of summarization. Problem Statement - The tremendous abundance of material available on the internet has produced an odd paradox: people are immersed in information, yet they are yearning for wisdom. It is tough to keep up with the internet's daily production of billions of articles. Is there a method to absorb information more effectively in this case without increasing reading time?

We are proposing for the above problem a Text Summarizer web app using NLP and NLTK libraries.