Classification of Newspaper Article Classification by Employing Support Vector Machine in Comparison with Perceptron to Improve Accuracy-Reference-Cited by-同舟云学术

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Classification of Newspaper Article Classification by Employing Support Vector Machine in Comparison with Perceptron to Improve Accuracy

Published:2023-04-06 Issue: Volume: Page:
ISSN:
Container-title:2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
language:
Short-container-title:

Author:

V Manoj.¹,T Devi.¹,Kalaiyarasi M.¹

Affiliation:

1. Saveetha University,Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Department of Computer Science and Engineering,Chennai,Tamilnadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142230/10142223/10142309.pdf?arnumber=10142309

Reference16 articles.

1. A healthcare text classification system and its performance evaluation: a source of better intelligence by characterizing healthcare text

2. Multi-Class Sentiment Analysis Comparison Using Support Vector Machine (SVM) and BAGGING Technique-An Ensemble Method

3. Effectiveness of the News Text Classification Test Using the Naïve Bayes’ Classification Text Mining Method;ying;Journal of Physics Conference Series,2021

4. Multiple birth support vector machine based on recurrent neural networks

5. A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm

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