Systematic literature review of fuzzy logic based text summarization

Document Type: Research Paper


Computer Science and Engineering Department, Delhi Technological University, New Delhi, India


Information Overload\rq  is not a new term but with the massive development in technology which enables anytime, anywhere, easy and unlimited access; participation \& publishing of information has consequently escalated its impact. Assisting users\lq    informational searches with reduced reading surfing time by extracting and evaluating accurate, authentic \& relevant information are the primary concerns in the present milieu.  Automatic text summarization is the process of condensing an original document into shorter form to create smaller, compact version from the abundant information that is available, preserving the content \& meaning such that it meets the needs of the user. Though many summarization techniques have been proposed but there are no \lq silver bullets\rq   to achieve the superlative results as of human generated summaries. Thus, the domain of text summarization is an active and dynamic field of study, practice \& research with the continuous need to expound novel techniques for achieving comparable \& effectual results. Fuzzy logic has appeared as a powerful theoretical framework for studying human reasoning and its application has been explored within the domain of text summarization in the past few years. This paper is a systematic literature review to gather, analyze, and report the trends, gaps and prospects of using fuzzy logic for automatic text summarization on the basis of the findings in original studies.


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