| publication name | DEEP at HASOC2019 : A Machine Learning Framework for Hate Speech and Offensive Language Detection |
|---|---|
| Authors | Hamada A. Nayel; Shashirekha H. L. |
| year | 2019 |
| keywords | Multi-taskClassification; Multi-lingualTextAnalysis; Hate Speech and Offensive Detection |
| journal | Forum of Information Retrieval Evaluation (FIRE2019) |
| volume | Not Available |
| issue | Not Available |
| pages | Not Available |
| publisher | Not Available |
| Local/International | International |
| Paper Link | http://ceur-ws.org/Vol-2517/T3-21.pdf |
| Full paper | download |
| 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.