Natural Language Processing Fundamentals

Are you overwhelmed by the sheer volume of text data available today? This course will guide you through the essential principles and techniques for making sense of it all. You will gain the foundational knowledge and practical skills to effectively analyze, interpret, and leverage large text datasets for various applications. What you'll learn: - Understand the core concepts of Natural Language Processing (NLP). - Apply fundamental text preprocessing techniques for cleaning and preparing data. - Explore common NLP tasks like sentiment analysis and topic modeling. - Learn about modern approaches to text representation, including embeddings. - Practice implementing basic NLP workflows using Python libraries. - Grasp the basics of prompt engineering for interacting with language models. This course begins with essential terminology and foundational definitions, moving through practical implementations. It is designed for beginners with no prior experience in NLP, requiring no special prerequisites. Start your journey into understanding and working with text data today.