NLP-LOVE/Introduction-NLP
A detailed study notes project covering NLP algorithms and their engineering implementations based on HanLP author Han Dong's book.
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This repository provides comprehensive notes on Natural Language Processing concepts and algorithms. It covers fundamental NLP tasks including Chinese word segmentation, part-of-speech tagging, named entity recognition, information extraction, text clustering, text classification, and syntactic analysis. The content explains algorithms in accessible language rather than formula-heavy presentations, and includes engineering implementations alongside theoretical explanations.
Frequently asked
- What is NLP-LOVE/Introduction-NLP?
- A detailed study notes project covering NLP algorithms and their engineering implementations based on HanLP author Han Dong's book.
- Is Introduction-NLP open source?
- Yes — NLP-LOVE/Introduction-NLP is open source, released under the Apache-2.0 license.
- What language is Introduction-NLP written in?
- NLP-LOVE/Introduction-NLP is primarily written in Python.
- How popular is Introduction-NLP?
- NLP-LOVE/Introduction-NLP has 2.3k stars on GitHub.
- Where can I find Introduction-NLP?
- NLP-LOVE/Introduction-NLP is on GitHub at https://github.com/NLP-LOVE/Introduction-NLP.