Implementation of Automatic Text Summarization
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
This paper investigates on sentence extraction based single Document summarization. It saves our time in daily work once we get summarized data. Today there are so many reports, Documents, papers, and articles available in digital form, but most of them lack summaries. Automatic text Summarization is a technique where a computer summarizes a text. A text is given to the computer and the computer returns a required extract of the original text document. Our methods on the sentence extraction-based text summarization task use the graph based algorithm to calculate importance of each sentence in document and most important sentences are extracted to generate document summary. These extraction based text summarization methods give an indexing weight to the document terms to compute the similarity values between sentences. Then the clustering of documents is done as per the domain of the documents, along with it labels are given to the clusters.
Authors and Affiliations
Aarti Patil , Komal Pharande, Dipali Nale, Roshani Agrawal, S. P. Bunjkar
Keywords
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