Paper Contents
Abstract
There is a lot of information available on the internet today, but it can be difficult to obtain it quickly and efficiently. It can be difficult to find exactly the information you need to understand a particular topic. The context of the text is useful for extracting the most important information from the various contents of the text. In the age of information overload on the Internet, automatic document summarization is especially important for retrieving important information from many electronic documents. Text summarization that uses natural language processing to summarize text. There are many ways to describe different metho extraction and abstraction from single or mixed data; the purpose of content reduction; features of the manuscript; process from shallow to deep; and the content of the article. With the increase in internet and smartphone usage, online shopping has also increased. Everyone wants their belongings to be delivered to their home in good condition. But reading these long reviews is not easy for everyone. Therefore, brevity should be able to reduce long words into short sentences with shorter words describing the same subject.
Copyright
Copyright © 2025 K.BHARGAVI. This is an open access article distributed under the Creative Commons Attribution License.
