Natural Language Text Processing With Python
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Natural Language Processing With Python
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Author : Steven Bird
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2009-06-12
Natural Language Processing With Python written by Steven Bird 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 2009-06-12 with Computers categories.
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. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Natural Language Processing With Python
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Author : Frank Millstein
language : en
Publisher: Frank Millstein
Release Date : 2020-07-06
Natural Language Processing With Python written by Frank Millstein and has been published by Frank Millstein this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-06 with Computers categories.
Natural Language Processing With Python This book is a perfect beginner's guide to natural language processing. It is offering an easy to understand guide to implementing NLP techniques using Python. Natural language processing has been around for more than fifty years, but just recently with greater amounts of data present and better computational powers, it has gained a greater popularity. Given the importance of data, there is no wonder why natural language processing is on the rise. If you are interested in learning more, this book will serve as your best companion on this journey introducing you to this challenging, yet extremely engaging world of automatic manipulation of our human language. It covers all the basics you need to know before you dive deeper into NLP and solving more complex NLP tasks in Python. Here Is a Preview of What You’ll Learn Here… The main challenges of natural language processing The history of natural language processing How natural langauge processing actually works The main natural language processing applications Text preprocessing and noise removal Feature engineering and syntactic parsing Part of speech tagging and named entity extraction Topic modeling and word embedding Text classification problems Working with text data using NLTK Text summarization and sentiment analysis And much, much more... Get this book NOW and learn more about Natural Language Processing With Python!
Natural Language Processing Recipes
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Author : Akshay Kulkarni
language : en
Publisher: Apress
Release Date : 2019-01-29
Natural Language Processing Recipes written by Akshay Kulkarni and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Computers categories.
Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing. By using the recipes in thisbook, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. What You Will Learn Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural language generation problems Who This Book Is ForData scientists who want to refresh and learn various concepts of natural language processing through coding exercises.
Natural Language Text Processing With Python
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Author : Jonathan Mugan
language : en
Publisher:
Release Date : 2017
Natural Language Text Processing With Python written by Jonathan Mugan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
"Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more. This course shows you how to accomplish some common NLP (natural language processing) tasks using Python, an easy to understand, general programming language, in conjunction with the Python NLP libraries, NLTK, spaCy, gensim, and scikit-learn. The course is designed for basic level programmers with or without Python experience."--Resource description page.
Python 3 Text Processing With Nltk 3 Cookbook
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Author : Jacob Perkins
language : en
Publisher: Packt Publishing Ltd
Release Date : 2014-08-26
Python 3 Text Processing With Nltk 3 Cookbook written by Jacob Perkins 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 2014-08-26 with Computers categories.
This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you’ve learned the limits of regular expressions the hard way, or you’ve realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This Cookbook will show you how to train and use statistical language models to process text in ways that are practically impossible with standard programming tools. A basic knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.
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.
Natural Language Processing
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Author : Jacob Perkins
language : en
Publisher:
Release Date : 2017-06-21
Natural Language Processing written by Jacob Perkins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-21 with Computers categories.
Natural Language Processing And Computational Linguistics
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Author : Bhargav Srinivasa-Desikan
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-06-29
Natural Language Processing And Computational Linguistics written by Bhargav Srinivasa-Desikan 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 2018-06-29 with Computers categories.
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. Key Features Discover the open source Python text analysis ecosystem, using spaCy, Gensim, scikit-learn, and Keras Hands-on text analysis with Python, featuring natural language processing and computational linguistics algorithms Learn deep learning techniques for text analysis Book Description 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 book shows you how to use natural language processing, and computational linguistics algorithms, to make inferences and gain insights about data you have. These algorithms are based on statistical machine learning and artificial intelligence techniques. The tools to work with these algorithms are available to you right now - with Python, and tools like Gensim and spaCy. You'll start by learning about data cleaning, and then how to perform computational linguistics from first concepts. You're then ready to explore the more sophisticated areas of statistical NLP and deep learning using Python, with realistic language and text samples. You'll learn to tag, parse, and model text using the best tools. You'll gain hands-on knowledge of the best frameworks to use, and you'll know when to choose a tool like Gensim for topic models, and when to work with Keras for deep learning. This book balances theory and practical hands-on examples, so you can learn about and conduct your own natural language processing projects and computational linguistics. You'll discover the rich ecosystem of Python tools you have available to conduct NLP - and enter the interesting world of modern text analysis. What you will learn Why text analysis is important in our modern age Understand NLP terminology and get to know the Python tools and datasets Learn how to pre-process and clean textual data Convert textual data into vector space representations Using spaCy to process text Train your own NLP models for computational linguistics Use statistical learning and Topic Modeling algorithms for text, using Gensim and scikit-learn Employ deep learning techniques for text analysis using Keras Who this book is for This book is for you if you want to dive in, hands-first, into the interesting world of text analysis and NLP, and you're ready to work with the rich Python ecosystem of tools and datasets waiting for you!
Introduction To Natural Language Processing With Python
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Author : Linsel Tadashi
language : en
Publisher: Independently Published
Release Date : 2025-03-31
Introduction To Natural Language Processing With Python written by Linsel Tadashi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.
Dive into the world of Natural Language Processing (NLP) with Introduction to Natural Language Processing with Python. This comprehensive guide is perfect for beginners who want to learn how to process and analyze human language using Python. Whether you're a data scientist, a software developer, or simply curious about the power of NLP, this book provides a step-by-step approach to mastering key NLP techniques using popular libraries like NLTK and SpaCy. NLP is at the core of applications like chatbots, sentiment analysis, language translation, and more. By learning how to apply NLP techniques in Python, you'll be able to unlock the potential of working with text data, performing text analysis, and building intelligent systems that can understand and generate human language. Inside, you'll learn: The fundamentals of NLP and how it fits into machine learning and AI How to install and use the NLTK (Natural Language Toolkit) and SpaCy libraries Techniques for tokenization, stemming, and lemmatization How to process text data for sentiment analysis, classification, and information extraction Working with word embeddings and vectorization methods like TF-IDF Building and training NLP models for tasks like text classification and language generation Real-world examples and projects, such as building a text-based chatbot By the end of this book, you'll have a strong understanding of NLP concepts and hands-on experience using Python to process and analyze text data. Whether you want to improve your data science skill set or develop language-processing applications, Introduction to Natural Language Processing with Python will give you the tools you need to get started. Key Features: Learn NLP from the basics with easy-to-follow instructions and examples Master popular Python libraries like NLTK and SpaCy for NLP tasks Step-by-step guidance on text processing, classification, and sentiment analysis Real-world projects and applications of NLP techniques Best practices for working with text data in Python Start your NLP journey today with Introduction to Natural Language Processing with Python and unlock the power of human language data!
Mastering Natural Language Processing Using Python
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Author : Dr. Goonjan Jain
language : en
Publisher: Sultan Chand & Sons
Release Date : 2025-02-01
Mastering Natural Language Processing Using Python written by Dr. Goonjan Jain and has been published by Sultan Chand & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.
This book is a comprehensive guide to Natural Language Processing (NLP), designed for both beginners and advanced learners. Whether you're just starting or looking to refine your skills, this book takes you through every aspect of NLP – from the basics of text processing to cutting-edge machine learning techniques used in NLP today. It combines theoretical foundations with practical examples using Python, making complex NLP concepts accessible and actionable. The book is rich with practical exercises, hands-on Python code snippets, and visual aids, ensuring that readers not only understand the concepts but also see how they apply in real-world scenarios. By the end of the book, readers will be proficient in using NLP libraries and will have a clear understanding of how to implement NLP solutions in Python.