ksdkamesh99/Phony-News-Classifier
Phony News Classifier is a repository which contains analysis of a natural language processing application i.e fake news classifier with the help of various text preprocessing strategies like bag of words,tfidf vectorizer,lemmatization,Stemming with Naive bayes and other deep learning RNN (LSTM) and maintaining the detailed accuracy below
This project helps you identify false or misleading news articles by analyzing their text. It takes a news article as input and tells you whether it's likely to be real or fake. This is useful for journalists, content moderators, or anyone needing to verify information credibility online.
No commits in the last 6 months.
Use this if you need a quick, automated way to determine the veracity of news content.
Not ideal if you need to understand the nuanced reasons why an article might be misleading, as it only provides a 'fake' or 'real' classification.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 27, 2020
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