2nd Edition. — Manning Publications, 2025. — 688 p. — ISBN: 978-1617299445. Develop your NLP skills from scratch, with an open-source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language....
Selle Creative, 2023. — 169 p. "Globetrotting with GPT: A Digital Nomad's Guide to Creativity and Productivity" is a must-read for anyone who wants to enhance their productivity, creativity, and personal growth as a digital nomad or remote worker. Susan Selle, a seasoned traveler and educator, shares her insights on how to leverage the power of GPT and AI to maximize your...
2nd ed. — Manning Publications, 2025. — 718 p. — ISBN: 1617299448. Develop your NLP skills from scratch, with an open-source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this...
Morgan & Claypool Publishers, 2012. — 180 p. Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. This research has...
Springer-Verlag Berlin Heidelberg, 2013. — 394 p. — ISBN: 978-3-642-35084-9, ISBN: 978-3-642-35085-6 (eBook). In the last years, researchers from a variety of computer science fields including computer vision, language processing, and distributed computing have begun to investigate how collaborative approaches to the construction of information resources can improve the...
Revised Edition. — O’Reilly Media, Inc., 2022. — 406 p. — ISBN: 978-1-098-13679-6. Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using...
Springer, 2024. — 542 p. — ISBN: 3031272250. Natural Language Processing is the branch of Artificial Intelligence involving language, be it in spoken or written modality. Teaching Natural Language Processing (NLP) is difficult because of its inherent connections with other disciplines, such as Linguistics, Cognitive Science, Knowledge Representation, Machine Learning, Data...
Independently published, Tommy Hogan. 2023. — 179 p. — (LLMs for Beginners to Experts) Experience the Future of Language Processing with "The Transformer Architecture: A Practical Guide to Natural Language Processing". This book is a comprehensive guide that covers everything you need to know to get started with Transformers, from the basics to advanced topics. The book is...
Independently published, 2023. — 176 p. Embark on a journey into the fascinating realm of Natural Language Processing for Beginners a comprehensive guide designed for beginners eager to explore the intersection of language and technology. In this user-friendly book, we demystify the complexities of NLP, breaking down intricate concepts into digestible, step-by-step...
Springer, 2024. — xii, 158 p. — (Synthesis Lectures on Human Language Technologies) — ISBN: 978-3-031-43259-0, 978-3-031-43260-6. This book explores the cognitive plausibility of computational language models and why it’s an important factor in their development and evaluation. The authors present the idea that more can be learned about the cognitive plausibility of...
Springer Singapore, 2023. — 437 p. — eBook ISBN: 978-981-99-1999-4. Up-to-date textbook on the basic concepts of Natural Language Processing. Discusses the latest NLP-enabling technologies. Step-by-step NLP workshops on Python implementation. This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core...
Springer, 2023. - 453 p. - ISBN: 9819919983. This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera,...
Springer, 2023. — 448 p. — (Artificial Intelligence: Foundations, Theory, and Algorithms). — ISBN: 978-3-031-23189-6. This book provides a comprehensive overview of the state-of-the-art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a revolutionary new paradigm...
Revised Edition. — O’Reilly Media, Inc., 2022. — 406 p. — ISBN: 978-1-098-13679-6. Revision History for the Revised Edition. 2022-05-27: First Release Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this...
Springer, 2023. — 801 p. — ISBN: 981165171X. The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural...
O’Reilly, 2023. — 44 p. Transformer-based language models are powerful tools for solving a variety of language tasks and represent a phase shift in the field of natural language processing. But the transition from demos and prototypes to full-fledged applications has been slow. With this book, you'll learn the tools, techniques, and playbooks for building useful products that...
Springer, 2019. — 348 p. The research described in this book shows that conversation analysis can effectively model dialogue. Specifically, this work shows that the multidisciplinary field of communicative ICALL may greatly benefit from including Conversation Analysis. As a consequence, this research makes several contributions to the related research disciplines, such as...