Accordingly, the required task was to develop a model that can predict a tweep's dialect based on his/her Arabic tweets. Concerning gender ‎[3]‎[11], Twitter ...

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 ...

Vol-1866/paper_95⫷Vol-1866/paper_67⫸Vol-1866/paper_68. Khaled Alrifai Ghaida Rebdawi Nada Ghneim. Arabic Tweeps Gender and Dialect Prediction.

Mar 10, 2023 · Khaled Alrifai, Ghaida Rebdawi, Nada Ghneim: Arabic Tweeps Gender and Dialect Prediction. CLEF (Working Notes) 2017.

Jun 30, 2018 · In our research, we considered the gender and the variety (dialect) of an author as two important traits that have many useful applications in ...

This paper provides an Egyptian Dialect Gender Annotated Dataset (EDGAD) obtained from Twitter as well as a proposed text classification solution for the Gender ...

We consider here the dialect of an Arabic author as an important trait to be predicted. For this purpose, many indicators, feature vectors and machine learning- ...

The dialect of an Arabic author is considered as an important trait to be predicted and many indicators, feature vectors and machine learning-based ...

Missing: Tweeps | Show results with:Tweeps

The focus of this task is to identify the age, gender, and language variety of Arabic Twitter users (tweeps). For this purpose, several feature vectors and ...