Summarization is the automated creation of a summary of any kind of text.
Although this development represents a very useful option for the user, the creation and development of a technology that can make a coherent summary, of any kind of text, taking into acount varying content such as length, writing-style, syntax, etc. is very difficult.
There are different types of summaries depending what the summarization machine focus on to make the summary of the text, for example sentence selection summaries, generic summaries or query relevant summaries. In the words of Goldstein"Human summarization of documents, sometimes called abstraction, produces a fixed-length generic summary that reflects the key points which the abstractor deems important." [1]
Nowadays, summarization systems are able to create both query relevant text summaries or generic machine-generated summaries depending on what the user needs.
Access to coherent and correctly-developed text summaries can be of great use, especially in these times of information overload, in which the amount of information electronically available grows day by day. A good example of the summarization technology could be search engines such as Google.