A Review of Text Summarization
This paper gives a review of text summarization and defines the criteria for summary generation, which is among most attractive research areas now-a-days.
Abstract
The excessive use of internet and online technologies has caused a rapid growth of electronic data. When a data is being accessed from such a huge repository of e-documents, hundreds and thousands of documents are retrieved. For a user, it is impossible to read all the retrieved documents. Also, these documents contain redundant information. The problem is termed as Information Overload. Text summarization addresses this problem by producing the summary of related documents. Text summarization is one of the typical tasks of text mining. It is among most attractive research areas now-a-days. This paper gives a review of text summarization and defines the criteria for summary generation.