Natural Language Processing

Catalog description

Natural Language Processing explores computational approaches to analyzing and generating human language. Covers machine learning techniques for tasks such as sentiment analysis, named entity recognition, machine translation, and question-answering systems. Students implement NLP algorithms and work with popular frameworks like PyTorch to build practical applications processing real-world text data.