Top Natural Language Processing books recommended by experts

At MentorCruise, we are all about making the most out of the experience of others. As part of that, we've connected and asked dozens of experts and professionals about their favourite Natural Language Processing books – and here are the answers.

Table of Contents

Fundamentals of Natural Language Processing

Understanding the concepts of Natural Language Processing starts with understanding the fundamentals. On your way to mastery, it's crucial for you to understand how certain concepts were derived, and why things work like they do. Starting with these resources is the best way to do so.

The Art of Letting Go: Stop Overthinking, Stop Negative Spirals, and Find Emotional Freedom: The Path to Calm, Book 13

Your mind should be your safe zone, not the noisiest place in the world. Restore your inner peace. If you are always on edge and unable to relax, this book is for you. Choose the pace that you want to live life at—you do have a choice. Control your thoughts, life, and control happiness.
The Art of Letting Go is all about organizing the mess in your mind. It's about how to stop focusing on t…

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Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: the Data Scientist's Manual to Data Mining, Deep Learning & Natural Language Processing

Big Data Analytics Methods unveils secrets to advanced analytics techniques ranging from machine learning, random forest classifiers, predictive modeling, cluster analysis, natural language processing (NLP), Kalman filtering and ensemble of models for optimal accuracy of analysis and prediction. ...

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Handbook of Natural Language Processing

The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. ...

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Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems

Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. ...

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Natural Language Processing with Python

This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. ...

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The Handbook of Computational Linguistics and Natural Language Processing

The Handbook of Computational Linguistics and Natural Language Processing provides a comprehensive overview of the concepts, methodologies, and applications being undertaken today in computational linguistics and natural language processing. ...

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Additional Natural Language Processing Reading

These books are not required for you to learn Natural Language Processing, but they are highly recommended for you to deepen your knowledge.

Foundations of Statistical Natural Language Processing

Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. ...

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Transformers for Natural Language Processing: Build Innovative Deep Neural Network Architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and More

Publisher's Note: A new edition of this book is out now that includes working with GPT-3 and comparing the results with other models. ...

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Speech and Language Processing

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. ...

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The Oxford Handbook of Computational Linguistics

Ruslan Mitkov's highly successful Oxford Handbook of Computational Linguistics has been substantially revised and expanded in this second edition. ...

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Neural Network Methods in Natural Language Processing

Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data. ...

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Frogs into Princes

Frogs into Princes: Neuro Linguistic Programming is a book by Richard Bandler and John Grinder, co-founders of neuro-linguistic programming, which is considered a pseudoscience. The book is one of several produced from transcripts of their seminars from the late 1970s, and has sold more than 270,000 copies

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