A comprehensive review of text summarization.

Text summarization is a great skill to have, particularly when it is required to check the understanding of a topic, support an argument, ensure the ideas make sense, and save time. The ability to locate the important points provided by summarization systems will help the user spend less time reading. Over the last decade, the amount of data on the Internet has grown at an exponential rate. As a result, a solution is required to convert this massive amount of raw data into valuable data that a human brain can comprehend. Text summarization is a frequent research approach for dealing with large amounts of data. An automatic summary is a well-known method for distilling a document's important points. It works by providing a reduced version of the text that preserves significant information. This paper examines the strategies, resulting in a summary that is less redundant and more focused. [ABSTRACT FROM AUTHOR]