Statistical Learning Methods for Profiling Analysis Notebook for PAN at CLEF 2015

Abstract Author profiling is the task to infer some information about an author by analyzing her/his writing style. It's application in forensics, business intelligence and psychology makes this topic interesting for researching. In this notebook, we present our baseline approach using SVM and Linear Discriminant Analysis (LDA) classifiers. We analyze features obtained from LIWC dictionaries, these are frequencies of use words by categories, which gives a general view about how the author writes and what he/she is talking about. According the experimental results, those are significant features to differentiate gender, age-group and personality. Although they are relatively few (not more than 100), they allow to discriminate with an acceptable accuracy