NLP-LOVE/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。
This resource provides detailed notes on natural language processing (NLP) concepts, focusing on practical applications in Chinese text analysis. It takes raw text and transforms it into structured information such as segmented words, identified entities, or classified documents. Aspiring data scientists, AI engineers, or researchers working with textual data will find this useful for understanding NLP algorithms and their implementation.
2,267 stars.
Use this if you want to learn the fundamental principles and engineering implementations behind core NLP tasks like Chinese word segmentation, named entity recognition, and text classification.
Not ideal if you are looking for a plug-and-play NLP tool or a deep dive into advanced machine learning and deep learning theories without the NLP context.
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Python
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Apache-2.0
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Jan 09, 2026
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