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...
Springer-Verlag Berlin Heidelberg, 2012. — 127 p. — ISBN: 978-3-642-22742-4, e-ISBN: 978-3-642-22743-1. Grammars for natural languages show how sentences (and their meaning) are built up out of smaller pieces. Syntactic parsing is the task of applying grammar to a string of words (a sentence) to reconstruct this structure. For example, “The dog thought there was day-old food in...
Manning Publications, 2022. — 325 p. — ISBN: 978-1617295447. Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply...
Packt, 2022. — 410 p. — ISBN: 9781803242385. With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus...
Packt, 2022. — 410 p. — ISBN: 9781803242385. With the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field. This book will help you in this endeavor, focusing specifically on text data and human language by steering a middle path among the various textbooks that present complicated theoretical concepts or focus...
Apress Media LLC, 2022. — 169 p. — ISBN13: 978-1-4842-8843-6. This book covers Transformer architecture and its relevance in natural language processing (NLP). It starts with an introduction to NLP and a progression of language models from n-grams to a Transformer-based architecture. Next, it offers some basic Transformers examples using the Google collab engine. Then, it...
Manning, 2022. — 296 p. — ISBN: 9781617295447. Deep Learning for Natural Language Processing teaches you how to create advanced NLP applications using Python and the Keras deep learning library. You’ll learn to use state-of-the-art tools and techniques including BERT and XLNET, multitask learning, and deep memory-based NLP. Fascinating examples give you hands-on experience with...
Cambridge: Cambridge University Press, 2022. — 96 p. Computational Linguistic Analysis. Text Classification. Text Similarity. Validation and Visualization.
Manning Publications, 2022. — 458 p. — ISBN: 978-1617296765. Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak humanly. 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....
Manning Publications, 2022. - 457 p. - ISBN: 1617296767. 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...
2nd Edition. — Packt, 2022. — 514 p. — ISBN: 1838641351, 9781838641351. From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models. Key Features Learn to solve common NLP problems effectively with TensorFlow 2.x. Implement end-to-end...
O’Reilly Media, 2022. — 151 p. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has powered a staggering number...
O’Reilly Media, 2022. — 202 p. — ISBN13: 978-1-098-11362-9. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has...
O’Reilly Media, 2022. — 202 p. — ISBN13: 978-1-098-11362-9. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has...
O’Reilly Media, Inc., 2022. — 417 p. — ISBN: 978-1-098-10324-8. • 2022-01-26: 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 practical book shows you how to train and scale these large...
O’Reilly Media, Inc., 2022. — 417 p. — ISBN: 978-1-098-10324-8. • 2022-01-26: 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 practical book shows you how to train and scale these large...
Manning Publications Co., 2021. — 337 p. — ISBN: 978-1617296420. Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
Apress, 2021. — 702 p. — ISBN: 978-1484270042. Build great voice apps of any complexity for any domain by learning both the how's and why's of voice development. In this book you’ll see how we live in a golden age of voice technology and how advances in automatic speech recognition (ASR), natural language processing (NLP), and related technologies allow people to talk to...
O’Reilly Media, 2021. — 336 p. — ISBN: 978-1492062578. 2021-05-11: First Release NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most...
HYPEch.com Publishing, 2020. — 225 p. — ISBN B08P79K6Q1. With the increasing demand for In-car Systems, Health Care, Military, Telephone, and our daily life, Automatic Speech Recognition (ASR) related job market is booming right now. As the leading open-source software in ASR field, Kaldi might be the best start point. We could learn all the concepts and technologies through...
HYPEch.com Publishing, 2020. — 225 p. — ISBN B08P79K6Q1. With the increasing demand for In-car Systems, Health Care, Military, Telephone, and our daily life, Automatic Speech Recognition (ASR) related job market is booming right now. As the leading open-source software in ASR field, Kaldi might be the best start point. We could learn all the concepts and technologies through...
Apress, 2021. — 192 p. — ISBN: 9781484266632. Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including...
AI Publishing, 2020. — 350 p. — ISBN: 173479013X, 9781734790139. Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn’t the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI,...
AI Publishing, 2020. — 350 p. — ISBN: 173479013X, 9781734790139. Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn’t the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI,...
AI Publishing, 2020. — 350 p. — ISBN: 173479013X, 9781734790139. Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn’t the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI,...
Apress Media LLC., 2021. — 261 p. — ISBN-13 (electronic): 978-1-4842-6246-7. Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a...
Apress Media LLC., 2021. — 261 p. — ISBN-13 (electronic): 978-1-4842-6246-7. Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a...
3rd Edition. — Morgan & Claypool Publishers, 2020. — 219 p. — (Synthesis Lectures on Human Language Technologies). — ISBN: 978-1681738116. In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter’s impact on our daily lives, both on a personal...
2nd ed. — Birmingham: Packt Publishing, 2022. — 514 p. — ISBN: 1838641351. From introductory NLP tasks to Transformer models, this new edition teaches you to utilize powerful TensorFlow APIs to implement end-to-end NLP solutions driven by performant ML (Machine Learning) models. Key Features Learn to solve common NLP problems effectively with TensorFlow 2.x. Implement...
O’Reilly Media, 2022. — 202 p. — ISBN13: 978-1-098-11362-9. GPT-3: NLP with LLMs is a unique, pragmatic take on Generative Pre-trained Transformer 3, the famous AI language model launched by OpenAI in 2020. This model is capable of tackling a wide array of tasks, like conversation, text completion, and even coding with stunningly good performance. Since its launch, the API has...
O’Reilly Media, 2022. — 409 p. 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 Hugging Face Transformers, a Python-based deep...
O’Reilly Media, Inc., 2022. — 417 p. — ISBN: 978-1-098-10324-8. • 2022-01-26: 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 practical book shows you how to train and scale these large...
Apress Media LLC, 2022. — 227 p. — ISBN13: 978-1-4842-7385-2. Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to...
Manning Publications Co., 2021. — 337 p. — ISBN: 978-1617296420. Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the...
Morgan & Claypool Publishers, 2021. — 123 p. — ISBN: 9781636392134. This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Language Processing (NLP) models. The book is intended to provide a snapshot of Explainable NLP, though the field continues to rapidly grow. The book is intended to be...
O’Reilly Media, 2021. — 336 p. — ISBN: 978-1-492-06257-8. NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in...
O’Reilly Media, 2021. — 336 p. — ISBN: 978-1492062578. 2021-05-11: First Release NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most...
Independently published, 2021. — 343 p. — ASIN B09BDD12TY. Before the advent of deep learning, traditional natural language processing (NLP) approaches had been widely used in tasks such as spam filtering, sentiment classification, and part of speech (POS) tagging. These classic approaches utilized statistical characteristics of sequences such as word count and co-occurrence,...
BPB Publications, 2021. — 164 p. — ISBN: 978-93-90684-625. This book provides a solid foundation for 'Natural Language Processing' with pragmatic explanation and implementation of a wide variety of industry wide scenarios. After reading this book, one can simply jump to solve real world problems and join the league of NLP developers. It starts with the introduction of Natural...
Manning Publications Co, 2021. — 266 p. — ISBN: 9 9781617297267. Transfer Learning for Natural Language Processing gets you up to speed with the relevant ML concepts before diving into the cutting-edge advances that are defining the future of NLP. Building and training deep learning models from scratch is costly, time-consuming, and requires massive amounts of data. To address...
Mercury Learning and Information, 2021. — 789 p. — ISBN: 978-1-68392-618-4. This book is for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included to support myriad topics. The first two chapters contain introductory material for NumPy and Pandas, followed by chapters on NLP concepts,...
Mercury Learning and Information, 2021. — 333 p. — ISBN: 978-1-68392-666-5. With the rise in data science development, we now have many remarkable techniques and tools to extend data analysis from numeric and categorical data to textual data. Sifting through the open\-ended responses from a survey, for example, was an arduous process when performed by hand. Using a case study...
Apress, 2021. — 702 p. — ISBN: 978-1484270042. Build great voice apps of any complexity for any domain by learning both the how's and why's of voice development. In this book you’ll see how we live in a golden age of voice technology and how advances in automatic speech recognition (ASR), natural language processing (NLP), and related technologies allow people to talk to...
HYPEch.com Publishing, 2020. — 225 p. — ISBN B08P79K6Q1. With the increasing demand for In-car Systems, Health Care, Military, Telephone, and our daily life, Automatic Speech Recognition (ASR) related job market is booming right now. As the leading open-source software in ASR field, Kaldi might be the best start point. We could learn all the concepts and technologies through...
Apress, 2021. — 192 p. — ISBN: 9781484266632. Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning. The book begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including...
Rotem Dror, Lotem Peled-Cohen, Segev Shlomov, Roi Reichart. — Morgan & Claypool, 2020. — 116 p. — ISBN: 978-1681737973. Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it has become rare to see an NLP paper, particularly one that proposes a new algorithm, that does not include...
Morgan & Claypool Publishers, 2015. — 168 p. — (Synthesis Lectures on Human Language Technologies). — ISBN10: 1627053883, 13 978-1627053884. This book presents the state-of-the-art in research and empirical studies in the field of Natural Language Processing (NLP) for the semantic analysis of social media data. Over the past few years, online social networking sites have...
Morgan & Claypool, 2017. — 184 p. This book introduces core natural language processing (NLP) technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have...
O’Reilly, 2009. — 504 p. — ISBN: 978-0-596-51649-9. This is a book about Natural Language Processing. By natural language we mean a language that is used for everyday communication by humans; languages such as English, Hindi, or Portuguese. In contrast to artificial languages such as programming languages and mathematical notations, natural languages have evolved as they pass...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples,...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples,...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples,...
AI Sciences, 2018. — 77 p. Are you thinking of learning more about Natural Language Processing (NLP)? (For Absolute Beginners) This book is for you. It would seek to explain common terms and algorithms in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. This book and the accompanying examples,...
Apress, 2018. — 158 p. — ISBN: 1484237323. Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied...
Apress, 2018. — 158 p. — ISBN: 1484237323. Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. Applied...
O’Reilly Media, 2018. — 350 p. — ISIN 1491963042. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking...
Packt, 2018. — 472 p. — ISBN: 978-1-78847-831-1 Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense volume of...
Packt Publishing, 2018. — 472 p. — ISBN: 1788478312. Natural language processing (NLP) supplies the majority of data available to deep learning applications, while TensorFlow is the most important deep learning framework currently available. Natural Language Processing with TensorFlow brings TensorFlow and NLP together to give you invaluable tools to work with the immense...
Packt Publishing, 2018. — 351 p. Work with Python and powerful open-source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. Modern text analysis is now very accessible using Python and open-source tools, so discover how you can now perform modern text analysis in this era of textual data. This...
O’Reilly Media, 2018. — 332 p. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is...
O’Reilly Media, 2018. — 332 p. From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is...
Packt Publishing, 2014. — 309 p. — ISBN10: 1783284676, ISBN13: 978-1783284672. This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial. NLP is at the core of web search, intelligent personal assistants, marketing, and much more, and LingPipe is a toolkit for processing...
LazyProgrammer, 2016. — 65 p. Recently, Microsoft’s Twitter bot “Tay” was released into the wild, and quickly began making racist and hateful statements after learning from other Twitter users. The technology behind this? Natural language processing. NLP is the use of machine learning algorithms for problems that involve text. Do you ever wonder why you get much less spam in...
Manning Publications Co., 2013. - 322 p. Language: English Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book...
Manning Publications Co., 2013. - 322 p. Language: English Taming Text is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book...
O’Reilly, 2009, -504 p. This is a book about Natural Language Processing. By natural language we mean a language that is used for everyday communication by humans; languages such as English, Hindi, or Portuguese. In contrast to artificial languages such as programming languages and mathematical notations, natural languages have evolved as they pass from generation to...
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