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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
IMPROVING HYBRID SUMMARIZATION USING ABSTRACT AND EXTRACT MODELS
Authors
G.V.Veenadhari, B.R Bharathi
Keywords
Natural Language Processing, Text summarization, Machine Learning, Tensor Flow, Seq2seq
Abstract
Over the past years, summarization has become a topic of research. Various techniques of Natural Language Processing (NLP) enabling researchers to generate efficient results for a wide spectrum of documents.
In the proposed work Seq2Seq Architecture with RNN is used to perform summarization tasks for documents. The nature of the summary is abstractive and allows the generation of internal meaning by the model itself
IJCRT's Publication Details
Unique Identification Number - IJCRT2209039
Paper ID - 224278
Page Number(s) - a266-a270
Pubished in - Volume 10 | Issue 9 | September 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
G.V.Veenadhari, B.R Bharathi, "IMPROVING HYBRID SUMMARIZATION USING ABSTRACT AND EXTRACT MODELS", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 9, pp.a266-a270, September 2022, Available at :http://www.ijcrt.org/papers/IJCRT2209039.pdf
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Volume 12 | Issue 5
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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