Online Deception Detection Refueled by Real World Data Collection
Table 4: In-domain Experimental Results Using Different Features, Recall/Precision/F1-score
['Features', 'Macro Average']
Consistent with the previous studies Ott et al. , the best in-domain performance is achieved using unigrams. In addition, the second best performed type of features is AP features that include the bottom-level syntactic production rules with lexical words. The three other types of features, POS, LIWC and UP features, perform significantly worse on in-domain deception detection.