Abstract The Threshold-based Naïve Bayes (Tb-NB) classifier is introduced as a (simple) improved version of the original classifier. Tb-NB extracts sentiment from Natural Language text corpus and allows user not only to predict how much sentence positive (negative) but also quantify with numeric value. It based on estimation single threshold value that concurs define decision rule classifies in...

in today world of internet, it is important to feedback the users based on what they demand. moreover, one of the important tasks in data mining is classification. today, there are several classification techniques in order to solve the classification problems like genetic algorithm, decision tree, bayesian and others. in this article, it is attempted to classify researchers to “expert” and “no...

In Sentiment analysis we use natural language processing and information to extracting writer’s comments or reviews. In this paper we use Data text mining and hybrid approach of KNN Algorithm and Naïve Bayes Algorithm to find the sentiments of Indian people on Tweeter.

Naïve Bayes algorithm is based on the Bayes theorem and the assumption that particular attributes are conditionally independent. Obviously, this assumption in usually not true (therefore a classifier is called “naïve”). The algorithm calculates the probability of belonging to particular class independently; as the final answer, the class with the highest probability is selected. Therefore, the ...

The problem of secure and fast distributed classification is an important one. The main focus of the paper is on privacy preserving distributed classification rule mining. This research paper addresses the performance analysis of privacy preserving Naïve Bayes classifiers for horizontal and vertical partitioned databases. The Naïve Bayes classifier is a simple but efficient baseline classifier....

We present a greedy algorithm for supervised discretization using a metric defined on the space of partitions of a set of objects. This proposed technique is useful for preparing the data for classifiers that require nominal attributes. Experimental work on decision trees and naïve Bayes classifiers confirm the efficacy of the proposed algorithm.

In early 2020, a new deadly virus was discovered that can spread quickly, called SARS-CoV-2 or Coronavirus Disease 2019 (COVID-19). Indonesia is country with relatively high number of survivors COVID-19. The success the Indonesian government in providing massive COVID-19 vaccinations minimize risk death. World Health Organization (WHO) stated it would revoke Public Emergency International Conce...