Get well-versed with traditional as well as modern natural language processing concepts and techniques Key Features Perform various NLP tasks to build linguistic applications using Python libraries Understand, analyze, and generate text to provide accurate results Interpret human language using various NLP concepts, methodologies, and tools Book Description Natural Language Processing (NLP) is the subfield in computational linguistics that enables computers to understand, process, and analyze text. This book caters to the unmet demand for hands-on training of NLP concepts and provides exposure to real-world applications along with a solid theoretical grounding. This book starts by introducing you to the field of NLP and its applications, along with the modern Python libraries that you'll use to build your NLP-powered apps. With the help of practical examples, you’ll learn how to build reasonably sophisticated NLP applications, and cover various methodologies and challenges in deploying NLP applications in the real world. You'll cover key NLP tasks such as text classification, semantic embedding, sentiment analysis, machine translation, and developing a chatbot using machine learning and deep learning techniques. The book will also help you discover how machine learning techniques play a vital role in making your linguistic apps smart. Every chapter is accompanied by examples of real-world applications to help you build impressive NLP applications of your own. By the end of this NLP book, you’ll be able to work with language data, use machine learning to identify patterns in text, and get acquainted with the advancements in NLP. What you will learn Understand how NLP powers modern applications Explore key NLP techniques to build your natural language vocabulary Transform text data into mathematical data structures and learn how to improve text mining models Discover how various neural network architectures work with natural language data Get the hang of building sophisticated text processing models using machine learning and deep learning Check out state-of-the-art architectures that have revolutionized research in the NLP domain Who this book is for This NLP Python book is for anyone looking to learn NLP’s theoretical and practical aspects alike. It starts with the basics and gradually covers advanced concepts to make it easy to follow for readers with varying levels of NLP proficiency. This comprehensive guide will help you develop a thorough understanding of the NLP methodologies for building linguistic applications; however, working knowledge of Python programming language and high school level mathematics is expected.

熟悉传统和现代的自然语言处理概念和技术 主要特点 执行各种NLP任务，使用Python库构建语言学应用 了解、分析和生成文本，提供准确的结果 使用各种NLP概念、方法和工具解释人类语言 书中描述 自然语言处理（NLP）是计算语言学的子领域，使计算机能够理解、处理和分析文本。本书迎合了人们对NLP概念的实践培训的需求，在提供坚实的理论基础的同时，还提供了对现实世界应用的接触。本书首先向你介绍了NLP领域及其应用，以及你将用来建立NLP驱动的应用程序的现代Python库。在实际例子的帮助下，你将学会如何建立合理复杂的NLP应用程序，并涵盖在现实世界中部署NLP应用程序的各种方法和挑战。你将涵盖关键的NLP任务，如文本分类、语义嵌入、情感分析、机器翻译，以及使用机器学习和深度学习技术开发一个聊天机器人。本书还将帮助你发现机器学习技术如何在使你的语言应用变得智能方面发挥重要作用。每一章都附有真实世界的应用实例，以帮助你建立属于你自己的令人印象深刻的NLP应用。在这本NLP书结束时，你将能够处理语言数据，使用机器学习来识别文本中的模式，并熟悉NLP的进展。你将学到什么 了解NLP如何为现代应用提供动力 探索关键的NLP技术，以建立你的自然语言词汇 将文本数据转化为数学数据结构，并学习如何改进文本挖掘模型 探索各种神经网络架构如何与自然语言数据一起工作 使用机器学习和深度学习，掌握建立复杂文本处理模型的窍门 查看最先进的架构，这些架构彻底改变了NLP领域的研究 这本书适合谁 这本NLP Python书适合任何希望学习NLP的理论和实践的人。它从基础知识开始，逐步涵盖高级概念，使不同程度的NLP熟练程度的读者都能轻松掌握。这本全面的指南将帮助你全面了解NLP的方法，以建立语言学应用；然而，希望你具备Python编程语言和高中水平数学的工作知识。