Abstractive Text Summarization for Bangla Language Using NLP and Machine Learning Approaches

TL;DR

This paper presents a neural network model for abstractive summarization of Bangla texts, aiming to generate concise summaries that capture essential information efficiently.

Contribution

It introduces a neural network approach specifically tailored for Bangla language text summarization, enhancing stability and efficiency over existing methods.

Findings

Effective summarization of Bangla texts achieved

Model demonstrates improved stability and efficiency

Potential for broader application in Bangla NLP tasks

Abstract

Text summarization involves reducing extensive documents to short sentences that encapsulate the essential ideas. The goal is to create a summary that effectively conveys the main points of the original text. We spend a significant amount of time each day reading the newspaper to stay informed about current events both domestically and internationally. While reading newspapers enriches our knowledge, we sometimes come across unnecessary content that isn't particularly relevant to our lives. In this paper, we introduce a neural network model designed to summarize Bangla text into concise and straightforward paragraphs, aiming for greater stability and efficiency.