论文信息 - Information Retrieval Features for Personality Traits

Information Retrieval Features for Personality Traits

This paper describes the methods employed to solve the Au- thor Proling task at PAN-2015. The main goal was to test the use of features derived from Information Retrieval to identify the personality traits of the author of a given text. This paper describes the features, the classication algorithms employed, and how the experiments were run. Also, I provide a comparative analysis of my results compared to those of other groups.

Edson R. D. Weren

[1] Shlomo Argamon,et al. Automatically profiling the author of an anonymous text , 2009, CACM.

[2] José Palazzo Moreira de Oliveira,et al. Exploring Information Retrieval features for Author Profiling Notebook for PAN at CLEF 2014 , 2014 .

[3] José Palazzo Moreira de Oliveira,et al. Examining Multiple Features for Author Profiling , 2014, J. Inf. Data Manag..

[4] Benno Stein,et al. Overview of the Author Profiling Task at PAN 2013 , 2013, CLEF.

[5] Benno Stein,et al. Overview of the 3rd Author Profiling Task at PAN 2015 , 2015, CLEF.

[6] José Palazzo Moreira de Oliveira,et al. Using Simple Content Features for the Author Profiling Task Notebook for PAN at CLEF 2013 , 2013, CLEF.

[7] Ian H. Witten,et al. The WEKA data mining software: an update , 2009, SKDD.