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

Refining long documents into a few sentences containing the essential ideas is known as text summarization. The aim is to compose a brief synopsis that successfully conveys the most highlighting ideas of the source content. We read the papers substantially daily to keep updated on domestic and international events. Our knowledge is broadened by reading newspapers, yet sometimes we encounter unrelated facts. In this study, we introduce a neural network model design that can reduce Bangla text to clear, brief summaries, improving both efficacy and dependability.