To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …

This overview presents the framework and the results of the Author Profiling task at PAN
2016. The objective was to predict age and gender from a cross-genre perspective. For this …

Forensic author profiling plays an important role in indicating possible profiles for suspects.
Among the many automated solutions recently proposed for author profiling, transfer …

Abstract The Author Profiling (AP) task aims to predict specific profile characteristics of
authors by analyzing their written documents. Nowadays, its relevance has been highlighted …

Nowadays, people share a lot of information in social media in the form of videos, news,
photos, posts, likes, etc. This large amount of generated information reflects the opinions …

In this paper we evaluate different strategies from the literature for text and image
classification at PAN 2018. The main objective of this shared task is the identification of the …

The automatic identification of an author's demographic traits (eg, gender, age group) from
their written text is termed as author profiling. This problem has become an essential …

This paper deals with extracting and learning patterns of assonance as a stylistic feature for
author attribution of historical texts. We describe an assonance extraction algorithm and …

Author profiling is a field within Natural Language Processing, in addition to being a sub-
field of the broader research area concerning authorship analysis, and aims to classify …

Author profiling is a field within Natural Language Processing (NLP) that is concerned with
identifying various characteristics and demographic factors of authors, such as gender, age …