"It was a wonderful experience interacting with you and appreciate the way you have planned and executed the whole publication process within the agreed timelines.”
Subrat SaurabhAuthor of Kuch Woh Pal
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.
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M M Siddique
M M Siddique is Senior Manager – Product Innovation at USDC Projects India Pvt. Ltd., with over 30 years of experience at the intersection of education, technology, and academic leadership. His professional journey spans both India and abroad, where he has led transformative initiatives in digital learning, curriculum design, and educational technology.
As an Academic Program Head, Siddique has been instrumental in launching several online undergraduate and postgraduate programs that integrate AI, automation, and data-driven methodologies to enhance both learning outcomes and operational efficiency. He has played a key role in developing impactful learning innovation products that address real-world challenges in education.
A passionate educator, Siddique is committed to fostering environments that promote critical thinking, innovation, and lifelong learning. His teaching expertise spans Computer Science, Artificial Intelligence, Machine Learning, and Data Analytics, where he excels at bridging complex technical concepts with practical, real-world applications.
Driven by a deep belief in empowering learners and institutions, he continues to champion strategic educational transformation through thoughtful planning and technology integration.
