Natural Language Processing for Business Applications
In a world awash with data, language is the final frontier of competitive advantage.
Natural Language Processing for Business Applications delivers a pragmatic, enterprise-ready approach to integrating NLP into real-world operations. Designed for business leaders, data professionals, and technical strategists, this book strips away academic clutter and focuses on high-impact, commercially viable solutions.
Inside, you'll find:
Practical techniques for implementing NLP in marketing, finance, HR, and customer service
Clear walkthroughs using Python, spaCy, and Hugging Face Transformers
Case studies that show how companies are leveraging NLP for insight, automation, and growth
Tools for building custom sentiment models, chatbots, entity recognition systems, and more
A strategic framework for evaluating ROI, scalability, and ethical considerations
Whether you're optimizing customer experience, mining feedback for product strategy, or building automated systems that understand human language, this guide equips you to turn linguistic data into tangible results.
This isn't a theory book-it's a toolkit for the modern business era.
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