# chinawithfrank/ChatBotCourse

自己动手做聊天机器人教程

Repository: https://github.com/chinawithfrank/ChatBotCourse
Canonical: https://ross.abutalabs.com/products/chatbotcourse
Homepage: https://www.lcsays.com
Language: Python
License: MIT
License Family: permissive
Last push: 2022-07-18T09:16:17+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3724, "days_push": 1507, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 6017, forks 1646 (observed 2026-08-28T04:09:34.290638+00:00)

## What it is
A Chinese-language tutorial series (with accompanying Python code) that teaches how to build a chatbot from scratch, covering NLP fundamentals like tokenization, POS tagging, parsing, and deep learning approaches such as word2vec, CNN, and RNN. It is structured as a sequence of blog articles hosted externally, with this repository serving as the code companion and index.

## Use cases
- learn how to build a chatbot from scratch
- learn NLP basics like tokenization and POS tagging
- understand word2vec and language models
- study Chinese word segmentation techniques
- learn deep learning applied to NLP
- find chatbot training corpus resources

## When to choose
- you want a step-by-step guided introduction to NLP and chatbot building in Chinese
- you are a beginner wanting both theory articles and runnable Python code
- you want to learn classic NLP plus deep learning techniques like word2vec and RNN

## When to avoid
- you need a production-ready chatbot framework or library
- you need modern LLM-based chatbot techniques (the material predates transformers)
- you cannot read Chinese, since all content is in Chinese

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: nlp, chatbot, machine-learning, deep-learning
- domain: chatbots, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: tutorial-series, chinese-language, nltk, word2vec, text-classification, chinese-nlp, natural-language-processing

## Member repositories
- chinawithfrank/ChatBotCourse (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:34.290638+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:49:45.326445+00:00, confidence not recorded.
  - readme: https://github.com/chinawithfrank/ChatBotCourse (fetched 2026-08-28T04:09:34.290638+00:00, sha 9446a5dbbab1)
- Data as of 2026-08-30T08:39:29.467469+00:00.