It is an NLP-based classifier for detecting Fake news and classifying each news as Fake or Real.
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Updated
Aug 9, 2021 - Jupyter Notebook
It is an NLP-based classifier for detecting Fake news and classifying each news as Fake or Real.
Used different types of machine learning classifiers such as Passive Aggressive, Extra Trees, Dummy Classifier to detect the DDos attack and compared the accuracies of the classifiers to determine the best out of the three.
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Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fa…
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A Supervised Learning model, PassiveAggressiveClassifier is used for detecting Fake news from a data set.
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This Python project detect fake and real news using PassiveAggressiveClassifier.
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