Python自然语言处理

本书解释了为什么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。

Preface Chapter 1：Introduction Understanding natural language processing Understanding basic applications Understanding advanced applications Advantages of togetherness—N LP and Python Environment setup for NLTK Tips for readers Summary Chapter 2：Practical Understanding of a Corpus and Datase What is a corpus? Why do we need a corpus? UnderStanding corpus analysis Exercise Understanding types of data attributes Categorical or qualitative data attributes Numeric or quantitative data attributes Exploring different file formats for corpora Resources for accessing free corpora Preparing a dataset for NLP applications Selecting data Preprocessing the dataset Formatting Cleaning Sampling Transforming data Web scraping Summary Chapter 3：Understanding the Structure of a Sentences Understanding components of NLP Natural language understanding Natural language generation Differences between NLU and NLG Branches nf NLP Defining context-free grammar Exercise Morphological analysis What is morphology? What are morphemes? What is a stem? What is morphological analysis? What iS a word? Classification of morphemes Free morphemes Bound morphemes Derivational morphemes Inflectional morphemes What is the difference between a stem and a root? Exercise Lexical analysis ......

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