A Novel Method for Enhancing Accuracy in Mining Twitter Data Using Naive Bayes over Logistic Regression

Abstract

To Enhance the accuracy performance in mining twitter data movie reviews. Naive Bayes with sample size of (N=5) and Logistic Regression with sample size of (N=5) was iterated at different times for prediction accuracy performance of movie reviews. The sigmoid function used in Naive Bayes Prediction to probability which helps to improve the prediction of accuracy. There was a statistical significance between Naive Bayes and Logistic Regression (p=0.00). Result proved that the Naive Bayes got significant result with 91% accuracy compared to Logistic Regression with 63% accuracy. Naive Bayes is a simple and most effective algorithm to build fast machine learning models. Naive Bayes helps predicting with more accuracy percentage of movie review.