PangeaMT has developed summarization services technologies that can make a coherent summary of any text taking into account variables such as length, syntax, facts, figures, people as well as writing style, for example
Automatic data summarization is part of machine learning and data mining. The main goal of summarization is to find a subset of data which contains the “information” of the entire set. Similar techniques are widely used in industry today. Search engines are an example. Document summarization aims at creating an abstract or representative summary of the entire document, by finding the most informative sentences. Similar techniques can be utilized in image summarization by a software system to find the most representative and important images.