Text Analysis for Bengali Text Summarization Using Deep Learning

Abstract

Text summarization is an approach by which the size of one or more document is shorten and the shorten passage presents the core information of the document. In this modern era of information technology, we are over flooded with online data which raised the necessity of summary of the original text. Many methods have already implemented for English text and the effort for Bengali text are gaining alongside. In this paper we propose an extractive text summarization technique based on a deep learning model of Recurrent Neural Network (RNN). Our method is to classify the sentences as significant or not for the summary. We have used Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU) for the backpropagation method. Between them we found Long Short-Term Memory (LSTM) more promising and we achieved average F1 scores- 0.63, 0.59, 0.56 for Rouge-1, Rouge-2 and Rouge-3 in some respects.