Fake News Detection with Machine Learning
Copyright policy )Fake News Detection with Machine Learning
As the internet is becoming part of our daily routine there is sudden growth and popularity of online news reading. This news can become a major issue to the public and government bodies (especially politically) if its fake hence authentication is necessary. It is essential to flag the fake news before it goes viral and misleads the society. In this paper, various Natural Language Processing techniques along with the number of classifiers are used to identify news content for its credibility. Further this technique can be used for various applications like plagiarismcheck , checking for criminal records.
K-Means Cluster (K-means), K-Nearest neighbor (KNN), Stochastic Gradient Descent (SGD),Support Vector Machines (SVM).
K-Means Cluster (K-means), K-Nearest neighbor (KNN), Stochastic Gradient Descent (SGD),Support Vector Machines (SVM).
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