Text Classification in NLP with Python

In today's data-rich world, understanding and categorizing text is crucial for many applications, from sentiment analysis to spam detection. This course introduces you to the essential techniques of text classification, a core skill in Natural Language Processing. By the end of this course, you will be equipped to build, train, and evaluate your own text classification models using Python, laying a strong foundation for further exploration in machine learning and NLP. What you'll learn: * Understand core concepts of text classification and its applications in Natural Language Processing * Learn fundamental techniques for text preprocessing and feature engineering * Apply classical machine learning algorithms like Naïve Bayes and Support Vector Machines for text categorization * Evaluate classification model performance using key metrics such as precision, recall, and F1-score * Practice implementing text classification pipelines using Python and relevant libraries The course begins with foundational concepts and terminology, progressively moving into practical implementation steps with Python code snippets and exercises. This course is designed for complete beginners with no prior experience in Natural Language Processing or machine learning. Begin your journey into text classification and unlock the power of textual data.