Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts

Table 12

Obtained results (accuracy, %) for age and gender classification using SVM classifier on the PAN author profiling 2015 English training corpus under 10-fold cross-validation with vectors extracted only from the training data.

Feature set	Age		Gender
	SVM-NP	SVM-WP	SVM-NP	SVM-WP
D2V (1-gram)	66.57	70.15	59.38	67.32
D2V (1 + 2-grams)	68.46	65.55	63.13	69.64
D2V (1 + 2 + 3-grams)	66.97	69.44	66.96	67.05