Abstract

This paper describes our approach to tackle the Author Profiling task at PAN 2015. Our method relies on syntactic features, such as syntactic based n-grams of various types in order to predict the age, gender and personality traits that has the author of a given text. In this paper, we describe the used features, the employed classification algorithm, and other general ideas concerning the experiments we conducted.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume1391
StatePublished - 2015
Event16th Conference and Labs of the Evaluation Forum, CLEF 2015 - Toulouse, France
Duration: 8 Sep 201511 Sep 2015

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