A Python application to recognize and filter out incorrect and misleading information in the form of clickbait and fake news articles. Comparative analysis of classification results using Logistic Regression, Naive Bayes, Decision Tree, Random Forest, SVM, SGD, Count Vectorizer and KNN. Note: Remember to mount your drive if using Google Colab and upload the dataset to local runtime memory!
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A Python application to recognize and filter out incorrect and misleading information about COVID-19 in the form of clickbait and fake news articles. Comparative analysis of classification results using Logistic Regression, Naive Bayes, Decision Tree, Random Forest, SVM, SGD, Count Vectorizer and KNN.
sonalishanbhag28/Fake-News-Analyzer
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A Python application to recognize and filter out incorrect and misleading information about COVID-19 in the form of clickbait and fake news articles. Comparative analysis of classification results using Logistic Regression, Naive Bayes, Decision Tree, Random Forest, SVM, SGD, Count Vectorizer and KNN.
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