Key-Phrase based Automatic Document Summarization

Abstract

 

The information in today’s world is big and rapidly growing at very high rate. It is becoming tough day by day to analyze this data and use this data correctly, which leads to data overload. Document Retrieval try to retrieve large number of Document that is beyond the reach of human analysis. Therefore, Document Retrieval is not perfect and required a something different such as abstract mechanism to reduce large data: the ability of summarize text. This research proposed automatic text summarization (ATS) . Summarization is a technique of shortening large textual information and showing concise and meaningful information. 
A Text Summarization system need to analyze the context of the text and sentences, and separate the most essential text. The main purpose is to produce meaningful summaries of web documents, giving users a short, concise overview of the entire web document in a very short amount of time. This plays a very important role when a user has a large number of her web documents and cannot spend time reading them all.