alterlab-digital-humanities
CommunityData-driven methods for humanities research.
AuthorAlterLab-IEU
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Digital humanities researchers often struggle to integrate computational methods into historical and literary studies, limiting scalable analysis and reproducibility.
Core Features & Use Cases
- Text mining and NLP for humanities (topic modeling, named entity recognition, sentiment analysis, concordance)
- Corpus linguistics and metadata standards (Dublin Core, TEI XML, data visualization)
- GIS, network analysis, stylometry, OCR workflows, and digital editions across humanities domains
- Example: apply topic modeling to a large corpus of Victorian novels to identify dominant themes and track their evolution over time
Quick Start
Provide a small English text corpus and run a basic topic model (BERTopic) to explore themes.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alterlab-digital-humanities Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-digital-humanities Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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