performing-open-coding
CommunityTurn Chinese qualitative text into structured open-coding concepts.
Education & Research#concept extraction#grounded theory#open coding#chinese qualitative data#continuous comparison#coding validation#jieba
Authorptreezh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
当你进入扎根理论的开放编码阶段时，面对大量中文访谈或文档文本，往往难以快速、系统地产生概念、形成初始编码并保持持续比较所需的素材质量。
Core Features & Use Cases
- 中文质性文本预处理：通过中文分词、停用词过滤与语义分段，为概念提取提供可用输入。
- 开放编码的概念识别与初始编码：从中文文本中快速抽取高频候选概念，并根据动词/情感/关系模式进行类型初分（行动/情感/关系/一般）。
- 持续比较与编码优化辅助：对概念进行相似度对比，识别重复或高度相近的编码，并给出合并建议与聚类线索。
- 备忘录写作衔接：在开放编码结果的基础上，输出你可用于撰写编码备忘录的过程要点与质量检查清单。
Quick Start
Ask the skill to perform open coding on your Chinese qualitative notes by running the preprocessing and concept extraction workflow, then output standardized JSON results for concept candidates, types, and coding suggestions.
Dependency Matrix
Required Modules
jiebapandasscikit-learnnumpy
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: performing-open-coding Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#performing-open-coding Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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