An Approach for Text Summarization Using Deep Learning Algorithm

Provided by: Science Productions
Topic: Software
Format: PDF
Now-a-days much research is going on for text summarization. Because of increasing information in the internet, this kind of research is gaining more and more attention among the researchers. Extractive text summarization generates a brief summary by extracting proper set of sentences from a document or multiple documents by deep learning. The whole concept is to reduce or minimize the important information present in the documents. The procedure is manipulated by Restricted Boltzmann Machine (RBM) algorithm for better efficiency by removing redundant sentences. The restricted Boltzmann machine is a graphical model for binary random variables. It consist of three layers input, hidden and output layer. The input data uniformly distributed in the hidden layer for operation.

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