Understanding Nlp
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Natural Language Processing In Action
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Author : Hannes Hapke
language : en
Publisher: Simon and Schuster
Release Date : 2019-03-16
Natural Language Processing In Action written by Hannes Hapke and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-16 with Computers categories.
Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)
The Complete Guide To Understanding And Using Nlp
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Author : Barbara Gibson
language : en
Publisher: Atlantic Publishing Company
Release Date : 2011
The Complete Guide To Understanding And Using Nlp written by Barbara Gibson and has been published by Atlantic Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Language Arts & Disciplines categories.
When it first developed in the 1970s by Richard Bandler and John Grinder, Neuro-Linguistic Programming or NLP was considered a great advancement in psychotherapy and was widely studied as a means by which to subjectively study language, communication and personal change. Today, it is a highly successful means by which individuals such as yourself can not only get better in touch with yourself and how you interact with the world through language and other forms of communication, but to better understand those around you and make enhanced decisions, provide advice, and boost yourself image through understanding. This book was written to assist every individual who ever wanted to become more in tune with their minds and their interactions with peers, family, and friends. You will learn what NLP is and when it was first developed along with the basic studies originally published in the early 1970s. You will learn how to start reading through and understanding maps and filters, the basics of learning, unlearning and relearning and how communication and language are the fundamental basis for essentially every action you take in life. You will learn how to control pacing and leading in communication, what perception involves and how to understand the various representational systems described by NLP. You will learn how to recognize predicates of conversation and eye accessing cues as well as how to recognize and work with various physiological states and emotional freedom. You will learn the basics of elicitation and anchors, including resource anchoring, collapsing anchoring, and future pacing. Top psychologist and therapists have been interviewed for this guide, with dozens providing information on which aspects of NLP are most effective for each individual. Using their advice as a map, you will learn how to use loops and systems and understand the different levels of learning. Everything from how language sets limits on your experience to how meta model patterns control you life will be discussed in detail to help you take control of your life through understanding of Neuro-Linguistic Programming. Atlantic Publishing is a small, independent publishing company based in Ocala, Florida. Founded over twenty years ago in the company president's garage, Atlantic Publishing has grown to become a renowned resource for non-fiction books. Today, over 450 titles are in print covering subjects such as small business, healthy living, management, finance, careers, and real estate. Atlantic Publishing prides itself on producing award winning, high-quality manuals that give readers up-to-date, pertinent information, real-world examples, and case studies with expert advice. Every book has resources, contact information, and web sites of the products or companies discussed.
Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01
Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
Natural Language Processing In Action Second Edition
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Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25
Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you'll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you'll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools. Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers.In it, you'll learn to create fun and useful NLP applications such as semantic search engines that are even better than Google, chatbots that can help you write a book, and a multilingual translation program. Soon, you'll be ready to start tackling real-world problems with NLP.
Practical Natural Language Processing
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Author : Sowmya Vajjala
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-17
Practical Natural Language Processing written by Sowmya Vajjala and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Computers categories.
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. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Applied Natural Language Processing In The Enterprise
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Author : Ankur A. Patel
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-12
Applied Natural Language Processing In The Enterprise written by Ankur A. Patel and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-12 with Computers categories.
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 NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
Introduction To Natural Language Processing
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Author : Xiaochun Cheng
language : en
Publisher: CRC Press
Release Date : 2025-06-27
Introduction To Natural Language Processing written by Xiaochun Cheng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.
This book provides a thorough and comprehensive introduction to natural language processing (NLP), a critical field at the intersection of artificial intelligence and computational linguistics. It explores key techniques such as sentiment analysis, which enables the detection of emotional tone in text, machine translation, facilitating the conversion of text between languages, and named entity recognition (NER), which identifies and classifies entities like names, dates, and locations within text data. The book delves into deep learning advancements, particularly the use of neural networks such as transformers and recurrent models, which have revolutionized NLP applications. Readers will gain insights into how these models drive innovations in areas such as text classification, language generation, and speech recognition. In addition to technical concepts, the book also addresses the ethical considerations surrounding NLP, emphasizing the responsible use of AI technologies to mitigate issues like bias, misinformation, and privacy concerns. Practical case studies and real-world examples are included to illustrate how NLP is applied in various sectors, including healthcare, finance, and customer service. This book is an invaluable resource for students, researchers, and industry professionals seeking to understand the foundational concepts, cutting-edge advancements, and broader implications of NLP, equipping them with the knowledge to innovate and apply these technologies effectively in their respective fields.
Introduction To Artificial Intelligence Understanding The Basics A Comprehensive Guide To Artificial Intelligence
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Author : Konstantin Titov
language : en
Publisher: Konstantin Titov
Release Date : 2024-01-06
Introduction To Artificial Intelligence Understanding The Basics A Comprehensive Guide To Artificial Intelligence written by Konstantin Titov and has been published by Konstantin Titov this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-06 with Computers categories.
Definition and History of AI: Explore the origins and evolution of AI, from its humble beginnings to its current transformative impact. Types of AI: Delve into the different types of AI, from Narrow AI and General AI to the intriguing realm of Superintelligent AI. Data's Crucial Role: Understand the importance of data in AI, its various types (Structured, Unstructured, Semi-Structured), and how it drives AI innovation. Fundamentals of Machine Learning: Uncover the core concepts of machine learning, from Supervised vs. Unsupervised Learning to Reinforcement Learning and Common Algorithms. Neural Networks and Deep Learning: Learn the basics of neural networks, explore the power of deep learning, and grasp the significance of Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Natural Language Processing (NLP): Gain insights into how AI understands language, including Sentiment Analysis, Chatbots, and Translation. Computer Vision: Discover the wonders of image recognition and object detection, along with the intricacies of Facial Recognition Technology. Robotics and Autonomous Systems: Explore AI's role in robotics, from AI-driven robots to self-driving cars and drones. Ethical Considerations: Delve into the ethical aspects of AI, addressing bias, fairness, privacy, and security concerns. Real-World Applications: Witness AI's impact across industries such as healthcare, finance, and retail, and glimpse into the future of AI in various sectors. Emerging Trends: Stay ahead of the curve by exploring quantum computing's synergy with AI and the convergence of AI with the Internet of Things (IoT). Career Paths: Learn about the diverse roles in AI and the essential skills required, as well as the exciting future of work in the AI field. Whether you're a fan of AI, a student eager to learn, or a seasoned professional, "Introduction to Artificial Intelligence: Understanding the Basics" provides you with the essential knowledge to grasp, appreciate, and effectively navigate the AI revolution. Get ready for an exciting adventure into the fascinating world of artificial intelligence.
Natural Language Understanding With Python
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Author : Deborah A. Dahl
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30
Natural Language Understanding With Python written by Deborah A. Dahl and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.
Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print Kindle book includes a free PDF eBook Key Features Master NLU concepts from basic text processing to advanced deep learning techniques Explore practical NLU applications like chatbots, sentiment analysis, and language translation Gain a deeper understanding of large language models like ChatGPT Book DescriptionNatural Language Understanding facilitates the organization and structuring of language allowing computer systems to effectively process textual information for various practical applications. Natural Language Understanding with Python will help you explore practical techniques for harnessing NLU to create diverse applications. with step-by-step explanations of essential concepts and practical examples, you’ll begin by learning about NLU and its applications. You’ll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you’ll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you’ll also discover practical issues such as acquiring data, evaluating systems, and deploying NLU applications along with their solutions. The book is a comprehensive guide that’ll help you explore techniques and resources that can be used for different applications in the future. By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications.What you will learn Explore the uses and applications of different NLP techniques Understand practical data acquisition and system evaluation workflows Build cutting-edge and practical NLP applications to solve problems Master NLP development from selecting an application to deployment Optimize NLP application maintenance after deployment Build a strong foundation in neural networks and deep learning for NLU Who this book is for This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must.
The Power Of Nlp Harnessing Language For Intelligent Systems
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Author : Nagaram Ramesh
language : en
Publisher: SGSH Publications
Release Date : 2025-01-20
The Power Of Nlp Harnessing Language For Intelligent Systems written by Nagaram Ramesh and has been published by SGSH Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-20 with Antiques & Collectibles categories.
The Power of Natural Language Processing (NLP) has rapidly expanded in recent years, emerging as a pivotal discipline that fuels intelligent systems. NLP enables machines to comprehend, generate, and interact with human language, bridging the gap between human communication and machine understanding. From chatbots to intelligent personal assistants, NLP is transforming the way we interact with technology and revolutionizing industries ranging from healthcare to entertainment, finance to customer service, and beyond. This book, "The Power of NLP: Harnessing Language for Intelligent Systems," is an extensive guide that not only explores the fundamental principles of NLP but also dives deep into its cutting-edge techniques, real-world applications, and future trends. It is intended for students, researchers, industry professionals, and anyone interested in gaining a deeper understanding of how language can empower intelligent systems. We begin by covering the foundational elements of NLP, such as tokenization, syntactic parsing, part-of-speech tagging, and named entity recognition. These building blocks form the backbone of NLP, and mastering them is essential for understanding more advanced models and techniques. As the book progresses, we explore the impact of machine learning, deep learning, and neural networks on NLP, showcasing how modern algorithms such as transformers and models like BERT and GPT are shaping the future of language processing. What sets this book apart is its unique focus on the practical implications of NLP. Real-world case studies and applications illustrate how NLP is actively driving innovations in areas like sentiment analysis, speech recognition, text summarization, machine translation, and medical diagnostics. By highlighting these applications, we emphasize the transformative role NLP plays in solving complex problems and improving decision-making processes across various sectors. However, the power of NLP comes with great responsibility. As intelligent systems become more integrated into our daily lives, ethical considerations surrounding language processing—such as bias, fairness, transparency, and data privacy—become crucial. This book dedicates significant attention to these ethical challenges, ensuring that readers gain a comprehensive understanding of not only how NLP works but also the broader implications of deploying these technologies responsibly. Looking toward the future, we explore emerging trends in NLP, such as multimodal language models, low-resource language processing, and advances in conversational AI. The book anticipates how NLP will continue to evolve, offering insights into how it will shape the next generation of intelligent systems, from autonomous vehicles to personalized healthcare.