Abstract:
This time of information driven advancement has made robotized significant and
significant information extraction a need. Computerized content synopsis has made it
conceivable to extricate significant data from a lot of information without requiring any
supervision. In any case, the extricated data could appear to be counterfeit on occasion and
that is the place the abstractive synopsis strategy attempts to emulate the human method
for outlining by making intelligent rundowns utilizing novel words and sentences. Because
of the troublesome idea of this strategy, before profound learning, there hasn't been a lot of
progress. In this way, during this work, we have proposed a consideration system-based
grouping to-arrangement system to create abstractive outlines of Bengali content. We have
likewise assembled our very own huge Bengali news dataset and applied our model on it
to demonstrate for sure profound succession to-arrangement neural systems can
accomplish great execution condensing Bengali writing
