This overview presents the framework and the results of the Author Profiling task at PAN
2017. The objective of this year is to address gender and language variety identification. For …

The rise of social media empowers people to interact and communicate with anyone
anywhere in the world. The possibility of being anonymous avoids censorship and enables …

Enhancing Deep Learning Gender Identification with Gated Recurrent Units Architecture in
Social Text SciELO - Scientific Electronic Library Online vol.22 número3 A 5W1H Based …

Arabic dialect identification is a specific task of natural language processing, aiming to
automatically predict the Arabic dialect of a given text. Arabic dialect identification is the first …

Author profiling is a challenging task that consists of identifying a person's relevant attributes
based on the content he/she generates. In this article, we validate a classification method …

Automated social media accounts, called bots, gained worldwide considerable importance
over the course of the last years. Social bots can have serious implications on our society by …

Language variety identification tends to identify lexical and semantic variations in different
varieties of a single language. Language variety identification helps build the linguistic …

The aim of the author profiling task is to automatically predict various traits of an author (eg
age, gender, etc.) from written text. The problem of author profiling has been mainly treated …

Vivimos en la era de la información donde la conectividad, la tecnología y las redes sociales
han ido moldeando la forma en que nos relacionamos con la información y el uso que …

This thesis provides the final part of my master's programme Data Science: Business and
Governance at Tilburg University. I would like to thank my supervisor Chris Emmery for all …