Text Analysis for Bengali Long Text Summarization Using Deep Learning

Abstract

In the text summaries, a description is the system of the scale of one or more documents & the key detail of the document is provided by the curtail passage. In this present era of information technology, we always rely on online information that is raised in need of a summary of the original text. There is a lot of methods already implemented for other languages like English text summarize but the effort is now underway for Bengali text summarization. In this paper, we will propose RNN's ( Recurrent Neural Network) deep learning model based extract text abbreviation strategy. So the categorization strategy is useful for description or not. For the back extension process, we have used Long Short-Term Memory(LSTM) and Gated Recurrent Units (GRU) in this article. But we used Long Short-Term Memory (LSTM) so it's more positive than that, and in terms of Rouge-I, Rouge-II and Rouge-III, we realize the typical F-1 scores being 0.65, 0.61, 0.58.