Staff Members - Benha University
DEEP at HASOC2019 : A Machine Learning Framework for Hate Speech and Offensive Language Detection
Forum of Information Retrieval Evaluation (FIRE2019) • 2019
Publication Information
Authors
Hamada A. Nayel; Shashirekha H. L.
Keywords
Multi-taskClassification; Multi-lingualTextAnalysis; Hate Speech and Offensive Detection
Journal
Forum of Information Retrieval Evaluation (FIRE2019)
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
In this paper, we describe the system submitted by our team for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC) shared task held at FIRE 2019. Hate speech and offensive language detection have become an important task due to the overwhelming usage of social media platforms in our daily life. This task has been applied for three languages namely, English, Germany and Hindi. The proposed model uses classical machine learning approaches to create classifiers that are used to classify the given post according to different subtasks.