Author

Khaled Alrifai, Ghaida Rebdawi, Nada Ghneim

Published in

Conference Paper, Conference and Labs of the Evaluation Forum CLEF, At Dublin, Ireland, Volume: 1866, 2017

Abstract

In this paper, we present our approach for author profiling task based on Arabic content (Twitter case), which was one of the tasks required in PAN at CLEF 2017. Author profiling is the process of identifying authors’ traits, which constitute the profile of an author, by analysing his/her writings. In our research, we considered the gender and the variety (dialect) of an author as two important traits that have many useful applications in the domain of Arabic social media analysis. For this purpose, several feature vectors and classifiers were tried to reach to the best prediction models for these two traits.

Link to read full paper

https://www.researchgate.net/publication/318788929_Arabic_Tweeps_Gender_and_Dialect_Prediction