Introduction-NLP
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。
Read detailed notes on natural language processing concepts and algorithms in an easy-to-understand format.
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Free · no card · unsubscribe anytimeHanLP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。
Introduction-NLP has 2.3k stars on GitHub. It has been forked 545 times. Introduction-NLP is written mainly in Python. It has been in active development since 2020. Introduction-NLP is available under the Apache-2.0 license. Its main topics are ai, deep-learning, mechine-learing, nlp.
What is Introduction-NLP?
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。
Is Introduction-NLP open source?
Introduction-NLP is an open-source project. It is released under the Apache-2.0 license.
Is Introduction-NLP free?
Yes. Introduction-NLP is free and open source — you can use, modify and self-host it.
What license does Introduction-NLP use?
Introduction-NLP is available under the Apache-2.0 license.
What language is Introduction-NLP written in?
Introduction-NLP is written mainly in Python.
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