文章基本信息

标题：Concept Frequency: A Feature Set Based Text Compression Model
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作者：P.Naveen Kumar ; Dr. A.P.Siva Kumar
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：7
出版社：S.S. Mishra
摘要：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, we propose a new multi-document summarization approach that makes use of a feature called 'concept frequency' thatverifies sentences nearness with a cluster opted. Hence the summarization relevance would be more effective. A novel feature called exemplar is to help simultaneously deals with sentence ranking. A fuzzy medoid-based clustering approach is used to produce sentence clusters or subsets where each of them corresponds to a subtopic of the related topic.
关键词：Concept frequency; exemplar; text Summarization