Age Category Prediction Feature Set

Feature set developed to support "Predicting Age Groups of Twitter Users Based on Language and Metadata Features" by Morgan-Lopez et al. (2017). The feature set encompasses candidate variables for each of the four models referenced in the paper ("Tweet Language Only","Twitter Handle Metadata Only","Tweet Language Use and Handle Metadata", and "WWBP Words"). Description of target variables listed below -- for further description of features and methodology please reference manuscript.Target Variablesage_cat: User age category {"1" : 13-17, "2" : 18-24, "3" : 25-50} age_cat_sen: User age category used for sensitivity analysis {"1" : 13-17, "2" : 18-29, "3" : 30-50}user_age: User ageOtherrand_id: Random ID assigned to Twitter user