{"id":13595504,"url":"https://github.com/NLP-LOVE/Introduction-NLP","last_synced_at":"2025-04-09T13:32:12.685Z","repository":{"id":39832847,"uuid":"237899869","full_name":"NLP-LOVE/Introduction-NLP","owner":"NLP-LOVE","description":"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。","archived":false,"fork":false,"pushed_at":"2022-01-05T03:24:30.000Z","size":6303,"stargazers_count":2228,"open_issues_count":10,"forks_count":547,"subscribers_count":38,"default_branch":"master","last_synced_at":"2025-04-07T22:11:07.415Z","etag":null,"topics":["ai","deep-learning","mechine-learing","nlp"],"latest_commit_sha":null,"homepage":"http://mantchs.com","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/NLP-LOVE.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-02-03T06:28:31.000Z","updated_at":"2025-04-07T12:03:58.000Z","dependencies_parsed_at":"2022-07-13T18:21:07.968Z","dependency_job_id":null,"html_url":"https://github.com/NLP-LOVE/Introduction-NLP","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLP-LOVE%2FIntroduction-NLP","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLP-LOVE%2FIntroduction-NLP/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLP-LOVE%2FIntroduction-NLP/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NLP-LOVE%2FIntroduction-NLP/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/NLP-LOVE","download_url":"https://codeload.github.com/NLP-LOVE/Introduction-NLP/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248049409,"owners_count":21039214,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","deep-learning","mechine-learing","nlp"],"created_at":"2024-08-01T16:01:51.295Z","updated_at":"2025-04-09T13:32:12.665Z","avatar_url":"https://github.com/NLP-LOVE.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# Introduction-NLP\nHanLP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。**\n\n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。\n\n- 机器学习与深度学习请转至本人项目：[ML-NLP](https://github.com/NLP-LOVE/ML-NLP)\n\n- HanLP项目：[HanLP](https://github.com/hankcs/HanLP)\n\n- 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。\n\n- ![](https://github.com/NLP-LOVE/Introduction-NLP/raw/master/img/2020-2-3_16-0-25.png?raw=true)\n  \n\n\n\n## 目录\n\n----\n\n| 章节                                                         |\n| ------------------------------------------------------------ |\n| [第 1 章：新手上路](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/1.%20%E6%96%B0%E6%89%8B%E4%B8%8A%E8%B7%AF.md) |\n| [第 2 章：词典分词](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/2.%E8%AF%8D%E5%85%B8%E5%88%86%E8%AF%8D.md) |\n| [第 3 章：二元语法与中文分词](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/3.%E4%BA%8C%E5%85%83%E8%AF%AD%E6%B3%95%E4%B8%8E%E4%B8%AD%E6%96%87%E5%88%86%E8%AF%8D.md) |\n| [第 4 章：隐马尔可夫模型与序列标注](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/4.%E9%9A%90%E9%A9%AC%E5%B0%94%E5%8F%AF%E5%A4%AB%E6%A8%A1%E5%9E%8B%E4%B8%8E%E5%BA%8F%E5%88%97%E6%A0%87%E6%B3%A8.md ) |\n| [第 5 章：感知机分类与序列标注](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/5.%E6%84%9F%E7%9F%A5%E6%9C%BA%E5%88%86%E7%B1%BB%E4%B8%8E%E5%BA%8F%E5%88%97%E6%A0%87%E6%B3%A8.md) |\n| [第 6 章：条件随机场与序列标注](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/6.%E6%9D%A1%E4%BB%B6%E9%9A%8F%E6%9C%BA%E5%9C%BA%E4%B8%8E%E5%BA%8F%E5%88%97%E6%A0%87%E6%B3%A8.md) |\n| [第 7 章：词性标注](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/7.%E8%AF%8D%E6%80%A7%E6%A0%87%E6%B3%A8.md) |\n| [第 8 章：命名实体识别](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/8.%E5%91%BD%E5%90%8D%E5%AE%9E%E4%BD%93%E8%AF%86%E5%88%AB.md) |\n| [第 9 章：信息抽取](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/9.%E4%BF%A1%E6%81%AF%E6%8A%BD%E5%8F%96.md) |\n| [第 10 章：文本聚类](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/10.%E6%96%87%E6%9C%AC%E8%81%9A%E7%B1%BB.md) |\n| [第 11 章：文本分类](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/11.%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB.md) |\n| [第 12 章：依存句法分析](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/12.%E4%BE%9D%E5%AD%98%E5%8F%A5%E6%B3%95%E5%88%86%E6%9E%90.md) |\n| [第 13 章：深度学习与自然语言处理](https://github.com/NLP-LOVE/Introduction-NLP/blob/master/chapter/13.%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0%E4%B8%8E%E8%87%AA%E7%84%B6%E8%AF%AD%E8%A8%80%E5%A4%84%E7%90%86.md) 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