WebSep 14, 2024 · Currently, there are many principles for detecting fake news such as n-grams, syntactic and morphological text analysis, POS tags, TfIdf method. These methods can be used for other applications, such as feature extraction, sentiment analysis, or other classification tasks [ 13 – 16 ]. WebFAKE NEWS DETECTION USING LOGISTIC REGRESSION ALGORITHM WITH MACHINE LEARNING Authors Dr.M. RAJESWARI A.SRINIRANJANI Abstract Most of …
Logistic Regression versus XGBoost: Machine Learning for …
WebSep 1, 2024 · In this study, we developed a new framework for detecting fake news, which has recently become a significant problem in social media. We compared the performances of different machine learning... WebJun 10, 2024 · Fake News Detection using Machine Learning -Using several categorization algorithms, this work aids us in detecting the accuracy of bogus news. Fake news has a tremendous impact on... hostinger google ads credit
Improving fake news classification using dependency grammar
WebTwo algorithms were proposed for this prediction named Logistic Regression and Artificial Neural Network but the later was selected because of the accuracy of 94%. ... Volume 10 Issue V May 2024- Available at www.ijraset.com Fight Misinformation and Detect Fake News Using Machine Learning Algorithm Prof. Shweta Kahurke1, Jyoti S.Haldar2 ... WebOct 25, 2024 · If the outcome variable takes only two values, then the model is called binary logistic regression model.Here the outcomes can be real news (Y = 1) and false news … WebOct 30, 2024 · Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media … hostinger hospedagem cloud