Deciphering Social Media Sentiment for Enhanced Analytical Accuracy: Leveraging Random Forest, KNN, and Naive Bayes
Author:
Affiliation:
1. Saveetha Institute of Medical and Technical Sciences, Saveetha University,Saveetha College of Liberal Arts and Sciences,Department of Computer Applications,Chennai,Tamil Nadu,India,602105
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10543256/10543221/10543836.pdf?arnumber=10543836
Reference19 articles.
1. Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier
2. Hybrid Model for Twitter Data Sentiment Analysis Based on Ensemble of Dictionary Based Classifiers and Stacked Machine Learning Classifiers-SVM, KNN, and C50;Journal of Theoretical and Applied Information Technology,2020
3. Impact of Different Data Types on Classifier Performance of Random Forest, Naïve Bayes, and K-Nearest Neighbors Algorithms
4. Sentiment Analysis of Movie Reviews using Machine Learning Techniques
5. Sentiment Analysis on Youtube Social Media Using Decision Tree and Random Forest Algorithm: A Case Study
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