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Project Title

Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets.

Description

A preliminary experiment on the detection of hate speech in Arabic tweets as part of participation in the Hate Speech Detection subtask in OSACT2020 workshop.

Table of Content

Notebook
[Part_1] Hate Speech Detection Using Classical Machine Learning Models Open In Colab
[Part 2] Hate Speech Detection Using Neural Learning Models Open In Colab

Read the Full-Text Paper

Abeer Abuzayed and Tamer Elsayed. Quick and Simple Approach for Detecting Hate Speech in Arabic Tweets. Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4) at LREC 2020, May 2020.