Automatic Author Profiling Based on Linguistic and Stylistic Features Notebook for PAN at CLEF 2013
Braja Gopal Patra, Somnath Banerjee, Dipankar Das, Tanik Saikh, Sivaji Bandyopadhyay · 2013
Abstract. The rapid expansion of blog and electronic data in Web 2.0 is abounding and thus it is becoming important to identify the author‟s profile also. The problems of automatic identification of author‟s gender and age based on linguistic and stylistic pattern have been a subject of increasingly research interest in the recent years. The research methodologies are also helpful for several other applications like criminal detection, security and author detection etc. We have used lexical, syntactic and structural features for identifying the gender and age group of the authors. We have employed the Decision tree classifier for classifying the author profile. We have achieved the accuracies of 56.83 % and 28.95 % for gender and age group classification, respectively.