{"books":[{"bookInfo":{"bookId":"3000109085","deepLink":"https://weread.qq.com/book-detail?type=1&v=53032a70811e1cd9cg015c7c","readerLink":"https://weread.qq.com/web/reader/53032a70811e1cd9cg015c7c","title":"Natural Language Processing with Python","author":"Steven Bird/Ewan Klein/Edward Loper","cover":"https://cdn.weread.qq.com/outpic/85/3000109085.jpg","intro":"This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies, ranging from predictive text and email filtering to automatic summarization and translation. With Natural Language Processing with Python, you'll learn how to write Python programs to 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.\nPacked with examples and exercises, Natural Language Processing with Python will help you:\n* Extract information from unstructured text, to guess the topic or identify \"named entities\"\n* Analyze linguistic structure in text, including parsing and semantic analysis\n* Access popular linguistic databases, including WordNet and treebanks\n* Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence\nPerfect for individual study, or as a classroom and workshop textbook, 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.\nIf you're interested in developing Web applications, analyzing multilingual news sources, documenting endangered languages, or if you are simply curious to have a programmer's perspective on how human language works, you will find Natural Language Processing with Python both fascinating and immensely useful.","publisher":"","price":0,"type":0,"payType":1,"bookStatus":5,"ispub":1,"cpid":0,"soldout":1,"format":"txt","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1,"autoBookRequest":1},"searchIdx":1,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6MSwiaXRlbV9pZCI6IjMwMDAxMDkwODUiLCJpdGVtX3R5cGUiOjR9","scope":3,"scopeCount":2,"subscribeCount":1,"seq":1,"type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36699128","deepLink":"https://weread.qq.com/book-detail?type=1&v=84532010722ffbf884523dd","readerLink":"https://weread.qq.com/web/reader/84532010722ffbf884523dd","title":"Natural Language Processing with Python Quick Start Guide","author":"Nirant Kasliwal","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/128/36699128/s_36699128.jpg","intro":"NLP in Python is among the most sought after skills among data scientists. With code and relevant case studies, this book will show how you can use industry-grade tools to implement NLP programs capable of learning from relevant data. We will explore many modern methods ranging from spaCy to word vectors that have reinvented NLP.The book takes you from the basics of NLP to building text processing applications. We start with an introduction to the basic vocabulary along with a workﬂow for building NLP applications.We use industry-grade NLP tools for cleaning and pre-processing text, automatic question and answer generation using linguistics, text embedding, text classifier, and building a chatbot. With each project, you will learn a new concept of NLP. You will learn about entity recognition, part of speech tagging and dependency parsing for Q and A. 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Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges.To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow.By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts.","publisher":"Packt Publishing","price":66.48,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":3,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6MywiaXRlbV9pZCI6IjM2Njk5NjgxIiwiaXRlbV90eXBlIjowfQ==","type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36698548","deepLink":"https://weread.qq.com/book-detail?type=1&v=07732ba0722ff9b407738a6","readerLink":"https://weread.qq.com/web/reader/07732ba0722ff9b407738a6","title":"Deep Learning for Natural Language Processing","author":"Karthiek Reddy Bokka Shubhangi Hora Tanuj Jain Monicah Wambugu","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/548/36698548/s_36698548.jpg","intro":"Applying deep learning approaches to various NLP tasks can take your computational algorithms to a completely new level in terms of speed and accuracy. 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In the later chapters, you will be able to develop a trigger word detection application using NLP techniques such as attention model and beam search.By the end of this book, you will not only have sound knowledge of natural language processing but also be able to select the best text pre-processing and neural network models to solve a number of NLP issues.","publisher":"Packt Publishing","price":62.12,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":4,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6NCwiaXRlbV9pZCI6IjM2Njk4NTQ4IiwiaXRlbV90eXBlIjoxfQ==","bookContentInfo":{"chapterUid":7,"chapterIdx":7,"chapterTitle":"The Basics of Natural Language Processing","abstract":"      The Basics of Natural Language Processing    To understand what natural language processing is, let's break the term into two:      ","keyword":["Natural Language Processing with Python","Natural Language Processing","natural language processing"]},"type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"3300024263","deepLink":"https://weread.qq.com/book-detail?type=1&v=e16326e0813ab6ffag0139f8","readerLink":"https://weread.qq.com/web/reader/e16326e0813ab6ffag0139f8","title":"自然语言处理技术——文本信息抽取及应用研究","author":"黄河燕","cover":"https://cdn.weread.qq.com/weread/cover/63/3300024263/s_3300024263.jpg","intro":"信息抽取的目的是从海量互联网文本信息中抽取结构化知识，是知识图谱自动化构建、更新的基础，为信息检索、推荐系统、智能问答等诸多研究领域提供底层知识推理支撑并取得了重大突破，是推动人工智能技术由感知走向认知的关键要素，具有重要的研究意义和实用价值。本书梳理了命名实体识别、关系抽取、事件抽取等相关研究方向的知识资源、基础理论和实践应用，详细介绍了实体关系联合抽取、弱监督关系抽取、基于迁移学习的关系抽取、多实例联合事件抽取、基于因变量的事件模板推导等前沿理论研究，并以领域知识图谱、事理图谱等为例，详细介绍了信息抽取在图谱构建中的应用。最后本书对信息抽取进行了总结和未来研究方向展望。","publisher":"电子工业出版社","price":75.6,"type":0,"payType":1048577,"bookStatus":1,"ispub":1,"cpid":48492,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":5,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6NSwiaXRlbV9pZCI6IjMzMDAwMjQyNjMiLCJpdGVtX3R5cGUiOjF9","bookContentInfo":{"chapterUid":13,"chapterIdx":13,"chapterTitle":"信息抽取在知识图谱构建中的应用","abstract":"Resolution[C]. 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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.","publisher":"Packt Publishing","price":71.93,"type":0,"payType":4097,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":7,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6NywiaXRlbV9pZCI6IjM2Njk4MDY1IiwiaXRlbV90eXBlIjoxfQ==","bookContentInfo":{"chapterUid":26,"chapterIdx":26,"chapterTitle":"Understanding word normalization","abstract":"the following sentence:    Natural Language Processing is the way to go   The phrase Natural Language Processing carries an inherent meaning that","keyword":["Natural Language Processing with Python","Natural Language Processing"]},"type":0,"readingCount":0,"reading":0},{"bookInfo":{"bookId":"36699803","deepLink":"https://weread.qq.com/book-detail?type=1&v=5e132330722ffe9b5e1d687","readerLink":"https://weread.qq.com/web/reader/5e132330722ffe9b5e1d687","title":"Natural Language Processing with TensorFlow","author":"Thushan Ganegedara","cover":"https://wfqqreader-1252317822.image.myqcloud.com/cover/803/36699803/s_36699803.jpg","intro":"This book is for Python developers with a strong interest in deep learning, who want to learn how to leverage TensorFlow to simplify NLP tasks. 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Torres  Paul Newman","cover":"https://cdn.weread.qq.com/weread/cover/30/cpplatform_6rjkjw7cfibpmbzz4ekybb/s_cpplatform_6rjkjw7cfibpmbzz4ekybb1764729753.jpg","intro":"\r\nGain practical, recipe-based insights into the world of deep learning using Apache MXNet for flexible and efficient research prototyping, training, and deployment to production\r\n\r\nKey Features\r\n\r\nCreate scalable deep learning applications using MXNet products with step-by-step tutorials\r\n\r\nImplement tasks such as transfer learning, transformers, and more with the required speed and scalability\r\n\r\nAnalyze model performance and fine-tune for accuracy, scalability,","publisher":"packt","price":83.92,"type":0,"payType":1048577,"bookStatus":1,"ispub":1,"cpid":18120716,"soldout":0,"format":"epub","finished":1,"showPaidInSearch":0,"paperBook":{"skuId":""},"isAutoDownload":1},"searchIdx":20,"hints":"","reason":"","searchReport":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInF1ZXJ5X3VpZCI6IjBfOE00RGFjUVRGaXpvWnYiLCJpdGVtX2lkeCI6MjAsIml0ZW1faWQiOiIzMzAwMTgxMDEzIiwiaXRlbV90eXBlIjoxfQ==","bookContentInfo":{"chapterUid":46,"chapterIdx":46,"chapterTitle":"Improving performance for translating English to German","abstract":"Vietnamese to English, in Chapter 6, Understanding Text with Natural Language Processing, we saw how we could use GluonNLP to retrieve pre-trained models","keyword":["Natural Language Processing with Python","Natural Language Processing"]},"type":0,"readingCount":1,"reading":1}],"parts":["Natural Language Processing with Python","naturallanguageprocessingwithpython","python","with","processing","language","natural","NaturalLanguageProcessingwithPython"],"totalCount":1676,"correction":"","hasMore":1,"queryUid":"eyJxdWVyeSI6Ik5hdHVyYWwgTGFuZ3VhZ2UgUHJvY2Vzc2luZyB3aXRoIFB5dGhvbiIsInJhblN0ciI6IjBfOE00RGFjUVRGaXpvWnYiLCJzY29wZSI6MH0=","sid":"9EwGhiGAw7"}