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)
The practice of condensing text material into a summary while retaining the major ideas is known as summarization. To best communicate the message concealed in the text, extractive summarizers operate with the provided text to extract sentences. The idea of discovering keywords and extracting sentences with more keywords than the rest is at the heart of most extractive summarization techniques. With an emphasis on essential terms, relevant words with a higher frequency than others are typically extracted to create keywords. We employed the TF (Term Frequency) model and GSS coefficients in the suggested system to extract keywords
for the text ranking process. In this study, we presented a method for automatically extracting keywords from Kannada datasets for text summarizing.
Keywords:
Automatic, Extractive, Term Frequency, GSS, Text ranking
Cite Article:
"Kannada Keyword-Based Text Summarization", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f555-f557, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304564.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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