Python自然语言处理
正版库存书，量大可联系客服！如遇图片不符，书名为准，感谢支持！
￥ 40.28 3.8折 ￥ 106 全新
库存5件
作者Jalaj,Thanaki
出版社东南大学出版社
ISBN9787564178659
出版时间2018-10
版次1
装帧平装
开本16开
纸张胶版纸
页数464页
字数99999千字
定价106元
货号7919796
上书时间2024-06-24
- 店主推荐
- 最新上架
商品详情
- 品相描述：全新
- 温馨提示：5折以下图书多为出版社尾货，大部分为全新，个别图书品相存在切口、划线标记、光盘等附件不全的情况，发货前会统一检查征求您的意见，如有疏忽之处，收到货后可联系客服协商处理，感谢配合！
- 商品描述
-
基本信息
书名:Python自然语言处理
定价：106元
作者:Jalaj,Thanaki
出版社：东南大学出版社
出版日期：2018-10-01
ISBN：9787564178659
字数：597000
页码：464
版次：1
装帧：平装
开本：16开
商品重量：
编辑推荐
内容提要
解释了为什么Python是构建基于NLP的专家系统的佳选之一。通过本书你将知道如何为自然语言处理应用程序选择数据集，并找到正确的NLP技术来处理数据集中的句子并理解它们的结构。你还将学习如何标记句子的不同部分以及分析它们的方法。你将探索文本的语义和句法分析，还将了解如何处理人类语言中的各种歧义，并在各种场景中执行文本分析。
目录
PrefaceChapter 1：IntroductionUnderstanding natural language processingUnderstanding basic applicationsUnderstanding advanced applicationsAdvantages of togetherness—N LP and PythonEnvironment setup for NLTKTips for readersSummaryChapter 2：Practical Understanding of a Corpus and DataseWhat is a corpus?Why do we need a corpus?UnderStanding corpus analysisExerciseUnderstanding types of data attributesCategorical or qualitative data attributesNumeric or quantitative data attributesExploring different file formats for corporaResources for accessing free corporaPreparing a dataset for NLP applicationsSelecting dataPreprocessing the datasetFormattingCleaningSamplingTransforming dataWeb scrapingSummaryChapter 3：Understanding the Structure of a SentencesUnderstanding components of NLPNatural language understandingNatural language generationDifferences betweeNLU and NLGBranches nf NLPDefining context-free grammarExerciseMorphological analysisWhat is morphology?What are morphemes?What is a stem?What is morphological analysis?What iS a word?Classificatioof morphemesFree morphemesBound morphemesDerivational morphemesInflectional morphemesWhat is the difference betweea stem and a root?ExerciseLexical analysisWhal is a token?What are part of speech tags?Process of deriving tokensDifference betweestemming and lemmatizationApplicationsSyntactic analysisWhat is syntactic analysis?Semantic analysisWhat is semantic analysis?Lexical semanticsHyponymy and hyponymsHomonymyPolysemyWhat is the difference betweepolysemy and homonymy?Applicatioof semantic analysisHandling ambiguityLexical ambiguitySyntactic ambiguityApproach to handle syntactic ambiguitySemantic ambiguityPragmatic ambiguityDiscourse integrationApplicationsPragmatic analysisSummaryChapter 4: PreproceSSingChapter 5: Feature Engineering and NLP AlclorithmsChapter 6：Advanced Feature Engineering and NLP AlgorithmsChapter 7: Rule-Based System for NLPChapter 8: Machine Learning for NLP ProblemsChapter 9: Deep Learnincl for NLU and NLG ProblemsChapter 10: Advanced ToolsChapter 11 : How to Improve Your NLP SkillsChapter 12: InstallatioGuideIndex
作者介绍
序言
-
【封面】
— 没有更多了 —
以下为对购买帮助不大的评价