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A summary is a shorter version of the original. Such a simplification highlights the major points from the much longer subject, such as a text, speech, film, or event. The purpose is to help the audience get the gist in a short period of time. Automatic summarization involves reducing a text document or a larger corpus of multiple documents into a short set of words or paragraph that conveys the main meaning of the text. In this paper, the authors propose a new multi-document summarization approach that makes use of a feature called 'Concept frequency' that verifies sentences nearness with a cluster opted.
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