Natural Language Processing Basics

This lecture introduces the basics of Natural Language Processing (NLP), a field of artificial intelligence focused on understanding and generating human language. It covers topics such as tokenization, part-of-speech tagging, parsing, stemming, lemmatization, and the use of embeddings. The lecture also explores the importance of context in NLP, the challenges posed by ambiguity and context, and the advancements brought by deep learning models. Practical applications of NLP, such as sentiment analysis and information extraction, are discussed, highlighting the role of NLP in various industries.