The University of Cyprus's course on Natural Language Processing is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses is split up into several lectures and is taught by Demetris Paschalides from the Department of Computer Science, whose research interest is focused on the use of Natural Language Processing (NLP) and Machine Learning (ML) to address social and ethical challenges. On this we will delve into the crucial task of hate-speech detection.

Learning outcomes

• Hate speech definition across different legal and cultural contexts
• Technical exploration of the models used for hate speech detection
• Integration of RNNs with CNNs
• Combination of text-, character-, and metadata-level models for hate-speech identification

Course outlines

The Natural Language Processing course is divided into 7 subsections:

1. Text Pre-processing
2. Language Modeling
3. Text Classification
4. Word Vector Representation
5. Distributed Contextual Embeddings
6. Application of NLP in:
   1. Hate-speech Identification
   2. Fake News Detection
   3. Political Polarization
7. Introduction to Large Language Models