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Fake News Detection using Machine Learning Natural Language Processing . A NLP and Machine Learning based web application used for detecting fake news. Uses NLP for preprocessing the input text. Uses XGBoost model for predicting whether the input news is Fake or Real.
here are tons of stories articles, where the news is fake or cooked up. With numerous advances in tongue Processing and machine learning, we will actually build an ml model which is in a position to detect if a bit of stories ... Here we'll be using artificial neural network models to verify the genuinity of the article.
Technologies Used
Web Technologies
Html , Css , JavaScript , Bootstrap , Django
Machine Learning Library In Python3
Numpy , Pandas , Scipy
matplotlib
scikit-learn
seaborn
Database
SQLite
Dataset Link: https://www.kaggle.com/c/fake-news/data
Training Model File
Fake_News_Classifier_Using_LSTM.ipynb
Fake_News_Classifier_using_Machine_Learning.ipynb
Output Generated File
xgb_fake_news_predictor.pkl