International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,April 2018,

Topic : Text Summarization of Data by Using the Recursive Iteration Technique

Authors:Vijayalaxmi M H || Rajeshwari R

Abstract:Neural arrangement to-grouping models have given a reasonable new way to deal with abstractive content synopsis (which means they are not limited to just choosing what's more, reworking sections from the first content). Be that as it may, these models have two deficiencies: they are at risk to imitate accurate points of interest erroneously, and they tend to rehash themselves. In this work we propose a Recursive iteration technique in which accuracy of the summarization of the data can be increased. By applying the multiple level of summarization without missing of any important data present in the document the results will be achieved. Here we can apply our models in the news articles which need to be summarized. .

Keywords: Data, Models, Iteration, Technique, Summarization

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DOI: 01.1617/vol5/iss4/pid18094


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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