fakes.csv: the FA-KES dataset, centered around the Syrian war, of fake and true news articles, with the information needed extracted from each article (location, nb casualties, etc...). This is the input file of running the feature extraction experiment.
feature_extraction.csv: this consists of the features extracted from the FA-KES dataset, it is the output of the feature extraction and the input for the machine learning model.
feature_extraction_train.csv: feature_extraction.csv after performing train_test_split (train dataset)
feature_extraction_test.csv: feature_extraction.csv after performing train_test_split (test dataset)
lexicons: this folder contains all the lexicons needed for feature extraction