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Research Article
A Systematic Mapping Using SVD and TF-IDF on NPTEL- SWAYAM Courses Retrieval by Keyword Search
Amrish K N1
Adithya B2
Sujithra M3
12Department of Computing – Data Science, Coimbatore Institute of Technology, Coimbatore , Tamil Nadu, India. 3 Assistant Professor, Department of Computing – Data Science, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India.
Published Online: November-December 2022
Pages: 115-117
Cite this article
No DOIReferences
1. Authors: Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak. “Text classification using machine learning and deep learning
model”, in arvix.org, June 2020.
2. Shervin Minaee, NalKalchbrenner, Erik Cambria, NarjesNikzad, MeysamChenaghlu, and JianfengGao.“Deep learning based text
classification: A comprehensive review”, in arvix.org, January 2022 .
3. Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and KNN
models for the text classification”, March 2020 Bener A, Zirie M, Musallam M, Khader YS, Al-Hamaq AOAA. Prevalence ofmetabolic
syndrome according to adult treatment panel III and internationaldiabetes federation criteria: a population-based study. Metabolic
Syndrome.
model”, in arvix.org, June 2020.
2. Shervin Minaee, NalKalchbrenner, Erik Cambria, NarjesNikzad, MeysamChenaghlu, and JianfengGao.“Deep learning based text
classification: A comprehensive review”, in arvix.org, January 2022 .
3. Kanish Shah, Henil Patel, Devanshi Sanghvi, and Manan Shah. “A comparative analysis of logistic regression, random forest and KNN
models for the text classification”, March 2020 Bener A, Zirie M, Musallam M, Khader YS, Al-Hamaq AOAA. Prevalence ofmetabolic
syndrome according to adult treatment panel III and internationaldiabetes federation criteria: a population-based study. Metabolic
Syndrome.
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