Text Summarization: An Overview

Abstract

1.Abstract: In this new era,where tremondous information is available on the internet,it is most important to provide the improved mechanism to extract the information quickly and most efficiently. It is very difficult for human beings to manually extract the summary of a large documents of text. There are plenty of text material available on the internet. So there is a problem of searching for relevant documents from the number of documents available, and absorbing relevant information from it.In order to solve the above two problems, the automatic text summarization is very much necessary.Text summarization is the process of identifying the most important meaningful information in a document or set of related documents and compressing them into a shorter version preserving its overall meanings. 2.Introduction: Before going to the Text summarization, first we, have to know that what a summary is. A summary is a text that is produced from one or more texts, that conveys important information in the original text, and it is of a shorter form. The goal of automatic text summarization is presenting the source text into a shorter version with semantics.The most important advantage of using a summary is ,it reduces the reading time. Text Summarization methods can be classified into extractive and abstractive summarization. An extractive summarization method consists of selecting important sentences, paragraphs etc. from the original document and concatenating them into shorter form. An Abstractive summarization is an understanding of the main concepts in a document and then express those concepts in clear natural language. There are two different groups of text summarization : indicative and informative.Inductive summarization only represent the main idea of the text to the user. The typical length of this type of summarization is 5 to 10 percent of the main text.On the other hand, the informative summarization systems gives concise information of the main text .The length of informative summary is 20 to 30 percent of the main text. 3.Main steps for text summarization: There are three main steps for summarizing documents.These are topic identification, interpretation and summary generation. 3.1. Topic Identificatio:The most prominent information in the text is identified .There are different techniques for topic identification are used which are Position, Cue Phrases, word frequency.Methods which are based on the position of phrases are the most useful methods for topic identification. 3.2. Interpretation :Abstract summaries need to go through interpretation step. In This step, different subjects are …