Paper Title
Text Summarization Using NLP
Article Identifiers
Authors
Sudarshan Sutar , Indraneel Surve , Mirza Munawwar , Vishal Nanaware
Keywords
text summarization , nlp , gpt , bert
Abstract
This research introduces a groundbreaking text summarization approach by combining BERT for extractive summarization and GPT for abstractive summarization. The synergy of these models results in a hybrid system that leverages the precision of extraction and the linguistic fluency of abstraction. Experimental results demonstrate the model's efficacy in producing high-quality summaries, showcasing its potential impact on information synthesis across diverse domains.
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How To Cite (APA)
Sudarshan Sutar, Indraneel Surve, Mirza Munawwar, & Vishal Nanaware (February-2024). Text Summarization Using NLP. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), b350-b353. https://ijnrd.org/papers/IJNRD2402146.pdf
Issue
Volume 9 Issue 2, February-2024
Pages : b350-b353
Other Publication Details
Paper Reg. ID: IJNRD_212424
Published Paper Id: IJNRD2402146
Downloads: 000121986
Research Area: Computer EngineeringÂ
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2402146.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402146
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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