Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Volume - 13 | Issue-1
Nowadays, Text summarization is significant application for documents, research papers and online news. The objective of this paper is to decrease document size and extracting the most important part of it. Summarization helps to gain required information without going through whole document. This proposed work is to summarize and present summary of text using an extractive approach with fuzzy logic. Overall, an extractive approach of summarization is the subset of content which sometimes will not assure satisfactory output. So along with this fuzzy logic helps to improve in getting outputs. In fuzzy summarization process followed by: Pre-processing (segmentation of sentences, tokenization, get rid of stop words), Feature-collection, Sentence Score, Sentence Rank and Summary collection.