CLEF-2013: PAN task on Author profiling in social media

[Robert Dale]

Posted on behalf of Paolo Rosso.
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CLEF-2013: PAN task on Author profiling in social media (age and
gender identification)

The Author profiling task is concerned with predicting an author's
demographics from her writing. Besides being personally identifiable,
an author's style may also reveal her age and gender. Accurate
predictors are of key interest to forensic linguists and marketers
alike. Participants will be provided with with a training data set
that consists of documents written in both English and, for those
interested, in Spanish too. With regard to age, we will consider posts
of three classes: 10s (13-17), 20s (23-27), and 30s (33-47). Moreover,
documents from authors who pretend to be minors will be included
(e.g., documents composed of chat lines of sexual predators will be
also considered).

The training corpus is already available: more info on this task and
the other two tasks of PAN (Plagiarism detection and Author
identification) at: http://pan.webis.de/
Info about the main CLEF-2013 conference: http://www.clef2013.org/