Practical Linguistic Feature Extraction

Uncover the hidden structures within text data and learn to transform raw language into valuable insights. This course provides a hands-on introduction to extracting linguistic features, equipping you with the foundational programming skills to analyze and understand written communication. What you'll learn: * Understand fundamental linguistic concepts: tokens, lemmas, parts of speech, and named entities. * Apply programmatic methods to segment, normalize, and clean raw text for analysis. * Extract key linguistic features such as n-grams, word frequencies, and stylistic elements. * Practice implementing feature extraction techniques using standard text processing approaches. * Learn how to structure and prepare extracted features for downstream tasks like classification or information retrieval. * Explore basic principles of representing text features as numerical vectors for computational models. The course begins with an exploration of core linguistic features and their importance in computational text analysis. You will then proceed through practical, step-by-step instructions and coding exercises to apply these concepts and build your feature extraction skills. This course is designed for beginners with basic programming knowledge who want to understand and apply computational methods to text data. No prior experience in natural language processing or linguistics is required. Begin your journey into text analysis and unlock new ways to understand language through code.