Spam Classifier
Author(s):
Rishabh Chaturvedi, Harsh Raj
Keywords:
SPAM CLASSIFIER
Abstract
1.SMS classification is detecting spam and ham using Naïve Bayes classifier. 2.Naive Bayes classifier is a machine learning algorithm which uses the Bayes theorem in solving a classification problem. 3.It’s one of the simplest probabilistic models and it is used as a benchmark for comparing the performance of other classification algorithms. 4.This algorithm is prefixed with the word ‘Naive’ since this algorithm strongly assume the conditional independence between the features. 5. This project incorporates the techniques of Naive Bayes classification to classify spam and ham messages.
Article Details
Unique Paper ID: 149967

Publication Volume & Issue: Volume 7, Issue 2

Page(s): 106 - 109
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Volume 7 Issue 3

Last Date 25 August 2020

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