Natural Language Processing

In a data-driven world, mastering human language processing is crucial. This course equips students with fundamental knowledge and practical skills for working with natural language data. Topics include text mining, sentiment analysis, language generation, machine translation, symbolic methods for NLP, deep learning models for NLP, and ethical considerations in AI-based NLP. Students also explore specialized libraries and tools for Natural Language Processing based on modern deep learning methods.