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Bengali Abstractive Text Summarization Using Deep Learning

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dc.contributor.author Talukder, Md. Ashraful Islam
dc.contributor.author Masum, Abu Kaisar Mohammad
dc.date.accessioned 2020-08-06T09:40:34Z
dc.date.available 2020-08-06T09:40:34Z
dc.date.issued 2019-12
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/4098
dc.description.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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.relation.ispartofseries ;P15434
dc.subject Machine learning en_US
dc.subject Natural language processing en_US
dc.title Bengali Abstractive Text Summarization Using Deep Learning en_US
dc.type Other en_US

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