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 …

Language identification (" LI") is the problem of determining the natural language that a
document or part thereof is written in. Automatic LI has been extensively researched for over …

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 …

A great variety of text tasks such as topic or spam identification, user profiling, and sentiment
analysis can be posed as a supervised learning problem and tackled using a text classifier …

Text and Image Synergy with Feature Cross Technique for Gender Identification Page 1 Text
and Image Synergy with Feature Cross Technique for Gender Identification CLEF/PAN 2018 …

Abstract The Author Profiling (AP) task aims to predict certain demographic (eg, age,
gender) about authors from their documents. AP on social media networks is gaining …

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 …

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 …

A simple linear SVM with word and character n-gram features and minimal parameter tuning
can identify the gender and the language variety (for English, Spanish, Arabic and …

This manuscript describes our solution to solve the Author Profiling task at PAN'18. In this
edition, the task asks for identifying the user's gender using both their Tweets containing …