Fundamentals of Portuguese NLP with Python

Processing human language is a core skill in modern artificial intelligence, but working with non-English text presents unique challenges. If you want to analyze, classify, and extract insights from Portuguese text, you need the right tools and foundational techniques. This course will guide you through the essentials of Natural Language Processing (NLP) specifically tailored for the Portuguese language. You will learn how to write Python code that leverages machine learning and neural networks to understand and manipulate text data effectively. From basic tokenization to modern vector representations, you will build the practical skills needed to process language data. What you'll learn: - Understand core NLP terminology and text preprocessing techniques specific to Portuguese. - Write Python scripts to clean, tokenize, and normalize raw text data. - Apply foundational machine learning algorithms to classify and categorize Portuguese documents. - Explore modern neural network representations, including word embeddings and basic vector concepts. - Implement modern NLP workflows using current Python libraries and best practices. - Practice building simple text analysis models through written step-by-step exercises. The course begins with essential terminology and basic linguistic concepts before moving into practical text processing. You will progress through structured written lessons covering traditional machine learning approaches and transition smoothly into modern neural network concepts used in today's AI landscape. Designed for beginners with basic Python knowledge, this program requires no prior background in machine learning or artificial intelligence. Start your journey into Portuguese text analysis today and build your foundation in natural language processing.