Everyone is on social media, and their motivation is not only to be active but also to generate knowledge. We always read reviews on social media before making a purchase. Information mining is a capable concept with enormous potential for predicting future patterns and behaviour. It refers to the process of extracting hidden information from large data sets using techniques such as factual investigation, machine learning, grouping, neural systems, and genetics.algorithms. There is a problem of zero likelihood in naïve bayes. To solve the problem of zero likelihood, this work proposed the RB-Bayes technique, which is based on Baye's theorem. We also compare our strategy to a few other approaches, such as naive bayes and SVM. We show that this technique is superior to several existing strategies, and that it can analyse data sets more effectively. When the proposed approach is applied to real-world data sets, the results are generally more accurate. The precision of the RB-Bayes computation is 83,333.
Author (S) Details
Dr.Rajni Bhalla
Department of Computer Application, Lovely Professional University, India.
Dr. Amandeep Bagga
Department of Computer Application, Lovely Professional University, India.
View Book :- https://stm.bookpi.org/NAER-V9/article/view/2821
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