Research Article

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

Table 13

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

Feature set AgeGender
SVM-NPSVM-WPSVM-NPSVM-WP

D2V (1-gram) 59.8356.6767.0073.00
D2V (1 + 2-grams) 68.3369.6167.0069.00
D2V (1 + 2 + 3-grams) 69.5072.2865.0071.00