vibhorag101/Fake-News-Detection
Machine Learning and Deep Learning Model using Natural Language Processing to help in detection of the fake news. Used Deep Learning models such as Artificial Neural Network and ML models like SVM and random forest using Python, NLTK Library, Numpy and Sklearn. Can help overcome privacy and cybersecurity challenges
This project helps anyone concerned with the spread of misinformation to identify whether a news article or statement is fake or real. You provide text from social media or digital news sources, and it outputs a classification indicating if the news is likely to be false. This is useful for fact-checkers, journalists, or content moderators who need to quickly assess the veracity of information.
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Use this if you need a system to automatically flag potentially misleading or false news content based on its text.
Not ideal if you require a real-time, high-volume fake news detection system integrated directly into a social media platform.
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Jan 05, 2023
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