We are happy to announce that the 3rd best performing team at the 3rd International Competition on Author Profiling was Andreas Grivas, Anastasia Krithara and George Giannakopoulos from SKEL, IIT, NCSR Demokritos. ΙΙΤ participated for the first time and took the 3rd place out of 22 teams.
This task was about predicting an author’s demographics from her writing. Participants have been provided with Twitter tweets in English and Spanish to predict age, gender and personality traits. Moreover, they have been provided also with tweets in Italian and Dutch and asked to predict the gender and personality.
Authorship analysis deals with the classification of texts into classes based on the stylistic choices of their authors. Beyond the author identification and author verification tasks where the style of individual authors is examined, author profiling distinguishes between classes of authors studying their sociolect aspect, that is, how language is shared by people. This helps in identifying profiling aspects such as gender, age, native language, or personality type. Author profiling is a problem of growing importance in applications in forensics, security, and marketing.
More info and the performances achieved by the participating teamshttp://www.uni-weimar.de/medien/webis/events/pan-15/pan15-web/author-profiling.h…