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Licence: apache-2.0
HanLP作者的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

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Introduction-NLP

HanLP作者何晗老师的新书《自然语言处理入门》详细笔记!业界良心之作,书中不是枯燥无味的公式罗列,而是用白话阐述的通俗易懂的算法模型。从基本概念出发,逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

本项目旨在帮助更多同路人能够快速的掌握 NLP 的专业知识,理清知识要点,在工作中发挥更大的作用。以书本为主,记录本人学习此书的心路历程、总结和笔记。

  • 机器学习与深度学习请转至本人项目:ML-NLP

  • HanLP项目:HanLP

  • 思维导图,请关注 AIArea 公众号并回复:NLP思维导图 ,即能下载高清大图。

目录


章节
第 1 章:新手上路
第 2 章:词典分词
第 3 章:二元语法与中文分词
第 4 章:隐马尔可夫模型与序列标注
第 5 章:感知机分类与序列标注
第 6 章:条件随机场与序列标注
第 7 章:词性标注
第 8 章:命名实体识别
第 9 章:信息抽取
第 10 章:文本聚类
第 11 章:文本分类
第 12 章:依存句法分析
第 13 章:深度学习与自然语言处理
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