digital-humanities-guide - Guide for computational methods in digital humanities
Applies computational methods like text mining, network analysis, spatial humanities, and digital archiving to humanities research.
Tags
Updated: 2026-09-15Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Tokenize and clean text corpora
- Compute TF-IDF term scores
- Train LDA topic models
- Build correspondence social networks
- Encode texts using TEI standards
Inputs
- Raw text corpora
- Stopwords lists
- Historical correspondence metadata
Outputs
- Cleaned text token lists
- TF-IDF score dictionaries
- Trained LDA topic models
- NetworkX graph objects
- TEI XML documents
Requirements
- Python runtime
- Gensim library
- NetworkX library