Kannada Keyword-Based Text Summarization

Kannada Keyword-Based Text Summarization

Registration ID: IJNRD_192487

Published ID: IJNRD2304564

DOI: Click Here to Get

Shwetha Kamath , Tanvi Chandra , Swathi P Hegde , Sindhu D V , Sneha Devidas Gunagi

Automatic, Extractive, Term Frequency, GSS, Text ranking

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.

Published Paper   E-Certificate

"Kannada Keyword-Based Text Summarization", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.f555-f557, April-2023, Available :https://ijnrd.org/papers/IJNRD2304564.pdf

Volume 8 Issue 4, April-2023

Pages : f555-f557

Paper Reg. ID: IJNRD_192487

Published Paper Id: IJNRD2304564

Downloads: 000121235

Research Area: Engineering

Country: Mangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304564.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304564

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area