Abstract:
A human can describe his mood with the help of text. Therefore understanding the meaning of the
text is very important. Sometimes, it is hard to understand the meaning of those texts, alongside
this is also time consuming. The machine is the best way to solve this problem. As a part of
machine learning, text summarization is a large field of research in natural language processing.
Build automatic text summarizer is the main focusing point of all research. Text summarizer
produces the gist part of a large document in a short time. Automatic text summarizer for other
languages has made previously but not for the Bengali language. Increasing the tools and
technology of Bengali language is the main goal of this research. In this research work, we’ve
tried to build an automatic text summarizer for the Bengali language. Though, working with the
Bengali language was a very challenging part of this research. But until the end, we have made a
base for automatic text summarizer for the Bengali language. The dataset used is collected from
online social media. The deep learning model is used to make the summarizer. In the model, train
time reduce the loss is directly affect the experiment result. We have reduced the training loss of
our summarization model for Bengali text summarizer and which are capable to generate a short
text summary.