Unlocking Text Analytics: A Cross-Disciplinary Guide for Modern Learners

Unlocking Text Analytics is a practical, cross-disciplinary guide that helps learners harness the power of unstructured text using Python and Natural Language Processing (NLP). Designed for students, educators, and professionals across engineering, IT, and business domains, this book bridges the gap between technical concepts and real-world application.

Through hands-on projects and industry-relevant use cases, the book covers key techniques such as sentiment analysis, topic modeling, named entity recognition, and text classification. Readers will learn how to process raw text data, build NLP workflows, and apply machine learning models to derive insights across diverse fields-from marketing and healthcare to education and compliance.

Whether you're building your first text analytics project or looking to apply NLP in your organization, this book provides the clarity, tools, and confidence to get started.

Ideal for modern learners seeking practical skills in Python, data science, and AI-driven decision making.