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Fake-news-detection

Fake News Detection on Liar dataset

DataPrep.py:

for preprecessing the metadata and the text data.

Processing the metadata

FeatureSelection.py:

contains utility functions for term doc matrix, tfidf vectorizer, POS tagging, glove model and confusion matrix to be used in the other files

ml_project_classifiers.py:

contains classifiers like lienar svm, svm with sgd, naive-bayes, random forest and logistic regression for classifying the data

cnn_model.py and text_cnn.py:

contains the code for cnn model implementation on the text data.

Checklist:

  • process metadata
  • process text data
  • XGBoost on metadata
  • CNN model
  • LSTM model
  • ensemble of best models