Natural Language Processing: A Primer

This lecture introduces Natural Language Processing (NLP), a field of artificial intelligence that aims to understand and generate human language. It covers the basics of NLP, including tokenization, part-of-speech tagging, and syntactic parsing. The lecture also delves into machine learning and its applications in NLP, such as sentiment analysis and information extraction. The instructor discusses the challenges and opportunities in NLP, including the use of deep learning for word embeddings. Various Swiss NLP applications are explored, showcasing the practical relevance of NLP in different domains. The lecture concludes by highlighting the limitations and ethical considerations in NLP.