Document Summarization -A Survey

Abstract

The World-Wide Internet has such a large amount of data available. To access this information or to use it from search data engines like Yahoo and Google were created. Because the huge amount of electronic information is growing day by day, the real outcomes have not been reached. As a result, automatic summarization is in high demand. Automatic summary takes data as input and apply algorithms and different approaches to produces outputs, Summarization saving both time and efforts. Document summarization is the process of compressing a large document into a shorter, more concise version while still retaining the most important information. This can be done manually by reading the document and extracting important information, or it can be done using natural language processing algorithms. Document summarization has various advantages. First, it saves time by allowing people to quickly get an overview of a document without having to read it in its entirety. Second, it can help improve the transparency of a document by removing irrelevant or redundant information. Third, it can make it easier to find specific information in a document because the summary can act as a sort of index. This paper provides a succinct description of automated textual summarization, and its strategies, which will help researcher’s student to summarize research work this survey focuses on the approaches used for Document summarization.