Embeddings-Based Clustering for Target Specific Stances: The Case of a Polarized Turkey

1 code implementation • 19 May 2020 • Ammar Rashed, Mucahid Kutlu, Kareem Darwish, Tamer Elsayed, Cansin Bayrak

On June 24, 2018, Turkey conducted a highly consequential election in which the Turkish people elected their president and parliament in the first election under a new presidential system.

Clustering Sentence +2

ALT Submission for OSACT Shared Task on Offensive Language Detection

no code implementations • LREC 2020 • Sabit Hassan, Younes Samih, Hamdy Mubarak, Ahmed Abdelali, Ammar Rashed, Shammur Absar Chowdhury

In this paper, we describe our efforts at OSACT Shared Task on Offensive Language Detection.

Hate Speech Detection

Arabic Offensive Language on Twitter: Analysis and Experiments

no code implementations • EACL (WANLP) 2021 • Hamdy Mubarak, Ammar Rashed, Kareem Darwish, Younes Samih, Ahmed Abdelali

Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization.

Embedding-based Qualitative Analysis of Polarization in Turkey

no code implementations • 23 Sep 2019 • Mucahid Kutlu, Kareem Darwish, Cansin Bayrak, Ammar Rashed, Tamer Elsayed

During the election period, the Turkish people extensively shared their political opinions on Twitter.

Social and Information Networks