Fake News Spreader Detection Using Naïve Bayes Classifier and Logistic Regression


Authors : Pratik Pol

Volume/Issue : Volume 8 - 2023, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3VWUCzp

DOI : https://doi.org/10.5281/zenodo.7931674

Abstract : Till date people have worked only one domain means only politics news but I have worked on politics as well as crime and film industry news. I collect this data set from Kaggl e.com . Our data is text form so we have convert this data to numeric form using countvectorizer .To see which algorithm is best ,I compared naïve bayes classifier and logistic regression and logistic regression gives best accuracy . Higest accuracy gave logistic regression is 95% and lowest accuracy gave BernoulliNB is 78%.

Keywords : ML, Naïve Bayes ,Logistic Regression.

Till date people have worked only one domain means only politics news but I have worked on politics as well as crime and film industry news. I collect this data set from Kaggl e.com . Our data is text form so we have convert this data to numeric form using countvectorizer .To see which algorithm is best ,I compared naïve bayes classifier and logistic regression and logistic regression gives best accuracy . Higest accuracy gave logistic regression is 95% and lowest accuracy gave BernoulliNB is 78%.

Keywords : ML, Naïve Bayes ,Logistic Regression.

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