It is an NLP-based classifier for detecting Fake news and classifying each news as Fake or Real.
This prject uses NLTK for text pre-processing. The words are then coverted into vectors using CountVectorizer and TF-IDF techniques. Two machine learning algorthms are used as mentioned below with accuracy, confusion matrix and classification report are calculated :
- Naive Bayes
- Passive Aggressive