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Jingdong book

Python自然语言处理

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Books Computers & Internet Programming Language and Programming

Jingdong book

Python自然语言处理

Name: Python自然语言处理
Brand: Jingdong book
SKU: 3118204941
Price: 39.98 USD
Availability: OutOfStock

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Content Description

自然语言处理(Natural Language Processing，NLP)是计算机科学领域与人工智能领域中的一个重要方向。它研究能够实现人与计算机之间用自然语言进行有效通信的各种理论和方法，涉及所有用计算机对自然语言进行的操作。
《Python自然语言处理》是自然语言处理领域的一本实用入门指南，旨在帮助读者学习如何编写程序来分析书面语言。《Python自然语言处理》基于Python编程语言以及一个名为NLTK的自然语言工具包的开源库，但并不要求读者有Python编程的经验。全书共11章，按照难易程度顺序编排。第1章到第3章介绍了语言处理的基础，讲述如何使用小的Python程序分析感兴趣的文本信息。第4章讨论结构化程序设计，以巩固前面几章中介绍的编程要点。第5章到第7章介绍语言处理的基本原理，包括标注、分类和信息提取等。第8章到第10章介绍了句子解析、句法结构识别和句意表达方法。第11章介绍了如何有效管理语言数据。后记部分简要讨论了NLP领域的过去和未来。
《Python自然语言处理》的实践性很强，包括上百个实际可用的例子和分级练习。《Python自然语言处理》可供读者用于自学，也可以作为自然语言处理或计算语言学课程的教科书，还可以作为人工智能、文本挖掘、语料库语言学等课程的补充读物。

Catalogue

目录

第1章语言处理与Python1
1．1语言计算：文本和词汇1
1．2近观Python：将文本当做词链表10
1．3计算语言：简单的统计17
1．4回到Python：决策与控制24
1．5自动理解自然语言29
1．6小结35
1．7深入阅读36
1．8练习37

第2章获得文本语料和词汇资源41
2．1获取文本语料库41
2．2条件频率分布55
2．3更多关于Python：代码重用60
2．4词典资源63
2．5WordNet72
2．6小结78
2．7深入阅读79
2．8练习80

第3章处理原始文本84
3．1从网络和硬盘访问文本84
3．2字符串：最底层的文本处理93
3．3使用Unicode进行文字处理100
3．4使用正则表达式检测词组搭配105
3．5正则表达式的有益应用109
3．6规范化文本115
3．7用正则表达式为文本分词118
3．8分割121
3．9格式化：从链表到字符串126
3．10小结132
3．11深入阅读133
3．12练习134

第4章编写结构化程序142
4．1回到基础142
4．2序列147
4．3风格的问题152
4．4函数：结构化编程的基础156
4．5更多关于函数164
4．6程序开发169
4．7算法设计175
4．8Python库的样例183
4．9小结188
4．10深入阅读189
4．11练习189

第5章分类和标注词汇195
5．1使用词性标注器195
5．2标注语料库197
5．3使用Python字典映射词及其属性206
5．4自动标注216
5．5N-gram标注221
5．6基于转换的标注228
5．7如何确定一个词的分类230
5．8小结233
5．9深入阅读234
5．10练习235

第6章学习分类文本241
6．1监督式分类241
6．2监督式分类的举例254
6．3评估258
6．4决策树263
6．5朴素贝叶斯分类器266
6．6最大熵分类器271
6．7为语言模式建模275
6．8小结276
6．9深入阅读277
6．10练习278

第7章从文本提取信息281
7．1信息提取281
7．2分块284
7．3开发和评估分块器291
7．4语言结构中的递归299
7．5命名实体识别302
7．6关系抽取306
7．7小结307
7．8深入阅读308
7．9练习308

第8章分析句子结构312
8．1一些语法困境312
8．2文法的用途316
8．3上下文无关文法319
8．4上下文无关文法分析323
8．5依存关系和依存文法332
8．6文法开发336
8．7小结343
8．8深入阅读344
8．9练习344

第9章建立基于特征的文法349
9．1文法特征349
9．2处理特征结构359
9．3扩展基于特征的文法367
9．4小结379
9．5深入阅读380
9．6练习381

第10章分析语句的含义384
10．1自然语言理解384
10．2命题逻辑391
10．3一阶逻辑395
10．4英语语句的语义409
10．5段落语义层422
10．6小结428
10．7深入阅读429
10．8练习430

第11章语言数据管理434
11．1语料库结构：案例研究434
11．2语料库生命周期439
11．3数据采集443
11．4使用XML452
11．5使用Toolbox数据459
11．6使用OLAC元数据描述语言资源463
11．7小结466
11．8深入阅读466
11．9练习467

后记470
参考文献476

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