A Novel Approach to Summarization based on Centroid Fuzzy
Vetriselvi T1, Gopalan N P2
1Vetriselvi T, Department of Computer Science and Engineering, K. Ramakrishnan College of Technology, Tiruchirappalli (Tamil Nadu), India.
2Gopalan N P, Department of Computer Applications, National Institute of Technology, Tiruchirappalli (Tamil Nadu), India.
Manuscript received on 25 March 2019 | Revised Manuscript received on 06 April 2019 | Manuscript Published on 11 April 2019 | PP: 86-90 | Volume-8 Issue-4C, April 2019 | Retrieval Number: D24260484C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Text summarization is a way to create a description of a given document. This is a novel approach to text summarization, which is a combination of fuzzy and centroid methods. In fuzzy method the result is based on the input given to the membership function. In centroid, missing some relevant words may make the summary irrelevant, and then the summary content is not meaningful. Our model overcomes the above two problems by combining the results of those approaches. The rate of summarization determines the size of the summary. Centroid is a group of words which are highly relevant to the document. Fuzzy membership functions helps to categorize the most relevant sentences. Both approaches have their own disadvantages, so we pick the best of the above two and create a novel approach as fuzzy centroids text summarization: this approach performs well in multi document summary when compare with existing.
Keywords: Centroid , Frequency, Fuzzy, TF-IDF.
Scope of the Article: Fuzzy Logics