INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In this paper, we introduce a framework for efficiently summarizing large amounts of information. Text summarization involves condensing a document's content by emphasizing its key ideas, making it a valuable tool for managing time constraints. With the increasing demand for text summarizers, people can quickly grasp the essence of a text without reading it in its entirety. This process aims to distill the main concepts or key points from a text while preserving its essential meaning, facilitating faster consumption of relevant information from the ever-expanding volume of online text data. Text summarization methods fall into two main categories: extraction and abstraction. Extractive methods extract important words, phrases, or sentences from the original text to form a summary.
Keywords:
Summarization, understanding language, teaching computers, picking out important parts of text, rewriting text to shorten it, advanced methods for summarizing text.
Cite Article:
"Text-summarization using a transformer based models", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d198-d206, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404325.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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