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  Published Paper Details:

  Paper Title

A SURVEY ON NATURE-INSPIRED OTPIMIZATION ALGORITHMS FOR TEXT SUMMARIZATION

  Authors

  Sushama Dhumal,  Dr. Prashant Sharma

  Keywords

Text Summarization; Optimization; Nature-inspired.

  Abstract


Accessibility of immensely available information in electronic form has opened the doors for a newly growing research area of Text Summarization. Text summarization is the process of abbreviating a huge quantity of information in one or more documents into a succinct summary that can contain informative text relevant to the user. Effective summary can be generated with organized information, with the help of optimization algorithms such as particle swarm optimization, artificial bee colony algorithms, genetic algorithms and ant colony optimization are used. These algorithms can be applied on single as well as multiple documents to get optimized summary. This paper aims to present a survey of text summarization procedure using nature-inspired optimization algorithms.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2103253

  Paper ID - 203835

  Page Number(s) - 1983-1988

  Pubished in - Volume 9 | Issue 3 | March 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sushama Dhumal,  Dr. Prashant Sharma,   "A SURVEY ON NATURE-INSPIRED OTPIMIZATION ALGORITHMS FOR TEXT SUMMARIZATION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 3, pp.1983-1988, March 2021, Available at :http://www.ijcrt.org/papers/IJCRT2103253.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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