17 We optimize using Adam (Kingma and Ba, 2014) with LR=.001 for 20 epochs, apply dropout with p = .2, select the model checkpoint that performs best over the validation set, and cross-validate the model's dimension (128 vs. 256) and the number of layers (1 vs. 2) separately for each crossvalidation split.
18 : for the title and text body separately, length, type-token ratio, rate of first-person pronouns, rate of secondperson pronouns, rate of question-marks, rate of capitalization, and Vader sentiment (Hutto and Gilbert, 2014).