Edson R. D. Weren

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This paper describes the methods we have employed to solve the author profiling task at PAN-2014. Our goal was to rely mainly on features from Information Retrieval to identify the age group and the gender of the author of a given text. We describe the features, the classification algorithms employed, and how the experiments were run. Also, we provide an(More)
This paper describes the methods we have employed to solve the author profiling task at PAN-2013. Our goal was to use simple features to identify the age group and the gender of the author of a given text. We introduce the features, detail how the classifiers were trained, and how the experiments were run.
Authorship analysis aims at classifying texts based on the stylistic choices of their authors. The idea is to discover characteristics of the authors of the texts. This task has a growing importance in forensics, security, and marketing. In this work, we focus on discovering age and gender from blog authors. With this goal in mind, we analyzed a large(More)
This paper describes the methods employed to solve the Author Profiling 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 classification algorithms employed, and how the experiments were run. Also, I(More)
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