Text summarization using NLTK with GUI interface

In today's digital world everything is revolving around data. Now every individual require everything to be in a precise manner and wants the work to be done as fast as possible. So, our project is mainly based on “Summarization of Text”, which is a process of deflating the text to help people save their time. If the data generated is enormous every individual do not have time and patience to read and understand the given data. In this project we provide solution for the problem faced by user to get an idea about huge data by summarizing it. Text summarization is the process of automatically extracting a compressed version of the document by preserving its information. There are two types of summarization extractive and abstractive here we go with the extractive method which simplify the problem by considering the subsets of the sentence and its aim is to cover the important sentence for understanding the document. We developed this by considering text rank algorithm which follows by tokenization and vectorization. The experiment results shows that our suggested approach provides quality in summarization by maintaining its information.