Text Classification Mastery
From Raw Data to Intelligent Predictions Using Feature Extraction and Machine Learning
Imagine building a system that automatically understands and categorizes text with remarkable accuracy—whether it's filtering spam, detecting sentiment, or organizing content at scale. Text classification is the engine behind many of today's most impactful AI applications, yet many practitioners struggle to move beyond basic approaches. This book bridges the gap between theoretical understanding and practical mastery. You'll discover how to transform raw text into powerful numerical features, select the right algorithms for your specific challenges, and deploy systems that perform reliably in production. Whether you're working with traditional machine learning or cutting-edge deep learning approaches, you'll learn the principles and techniques that separate good classifiers from exceptional ones. Through clear explanations, practical examples, and real-world insights, you'll gain the confidence to tackle complex text classification problems and make informed decisions about feature extraction, model selection, and optimization strategies that actually work.
Est. Length
222 pages (10 chapters)
Language
English
Publication date
Dec 19, 2025
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