Getting Started with Natural Language Processing (Final Release)

Essential Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you’ll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you’re done, you’ll have a solid grounding in NLP that will serve as a foundation for further learning.

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human.
In Getting Started with Natural Language Processing you’ll learn about:
• Fundamental concepts and algorithms of NLP
• Useful Python libraries for NLP
• Building a search algorithm
• Extracting information from raw text
• Predicting sentiment of an input text
• Author profiling
• Topic labeling
• Named entity recognition