A Study of Implementation of Deep Learning Techniques for Text Summarization
Keywords:
Summarize text, Deep Learning Techniques, Effective, AutomatizationAbstract
To automatically summarize a piece of material, the length of the original text must be reduced while the content's important informative parts and significance are preserved. As a result, automating manual text summarizing, which is a time-consuming and labor
intensive procedure, is gaining popularity, and is therefore a major motivator for academic study. In today's age of data overload, abstracting and summarizing huge texts is critical. Over time, a variety of approaches for summarizing text have been created. Traditional approaches construct a summary directly as a result of the duplication and omission of the document summary connection. Deep learning algorithms have been demonstrated to be useful in creating summaries. We concentrate on deep learning-based text summarizing algorithms that have been developed throughout time.
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