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Research Article

Text Classification Using Gaussian, Multinomial naïve Bayes and Logistic Regression

  • Paper ID 795
  • Volume 3, Issue 6
  • Pages 112-114
  • Published Online: November-December 2022
Open Access Peer Reviewed

Authors

  • Kaalishwar R1
  • Dr. Sujithra M2

12Department Of Computing, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, India.

Article Information

DOI
No DOI
Published Online
November-December 2022
Pages
112-114
Article Type
Research Article
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No DOI available for cross-reference

References

[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 Jianfeng Gao. 7. “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
[4]. Hui Li, Zeming Li. “Text Classification Based on Machine Learning and Natural Language Processing Algorithms”, in hindawi,
Volume 2022
[5]. Johnson Kolluri, Shaik Razia, and Soumya Ranjan Nayak.”Text classification using machine learning and deep learning models”,
International Conference on Artificial Intelligence in Manufacturing and Renewable Energy(ICAMRE)2019
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