Fake-News-Classifier
Fake News Classifier built using NLP Techniques.
Dependencies
- Pyhton 3.x
- NLTK
- NumPy
- Pandas
- sklearn
- CountVectorizer
- TfidfTransformer
Modelling
I fit 6 models to the training set, with testing accuracy of the models being:
- Random forest Classifier (90.3%)
- SVM (92.7%)
- K Nearest Neighbors (65.0%)
- PassiveAggressive Classifier (92.3%)
- XGBoost (92.1%)
- Naive Bayes (88.1%)