Class 3 — Feb 11
What's text got to do with it?: Text as Data I
ATTEND NYCDH week event (Feb 8-11). This session explores how text becomes data — from distant reading and topic modeling to sentiment analysis. What new questions become possible when you can read thousands of texts at once? What gets lost?
Readings & Resources
- Read Miriam Posner. Text Analysis: A Walking Tour of What People are Using in Digital Humanities Right Now (2021)
- Read Ted Underwood. Seven Ways Humanists Are Using Computers to Understand Text (2015)
- Read Susan Hockey. The History of Humanities Computing
- Read Stephen Ramsay & Geoffrey Rockwell. Developing Things: Notes toward an Epistemology of Building in the Digital Humanities (2020)
- Read Matthew Wilkens. Canons, Close Reading, and the Evolution of Method (2020)
- Project KITAB — Knowledge, Information Technology, and the Arabic Book
- Tool Voyant Tools (Text Analysis)
- Tool Sentiment Viz (Twitter Visualization)
- Tool TAPoR — Text Analysis Portal
- Tool Google Books Ngram Viewer
Suggested / FYI
- Explore Voyant Tools — Guide & Documentation
- Tool NgramReader+ Lite for Classical Arabic Corpus
- Tool David Mimno. jsLDA — In-Browser Topic Modeling
- Explore Sentiment Analysis in Arabic
- Project The Open Islamicate Texts Initiative (OpenITI)
- Project Linked Jazz
- Tool ATLAS.ti — Qualitative Data Analysis
- Explore Digital Ottoman Studies
Breakdown in Class
KITAB — Knowledge, Information Technology, and the Arabic Book
In-Class Tools
Voyant Sentiment Viz (Twitter) Tapor Google Books N-Gram Fairouz & Um Kulthoum lyrics analysis
From the Session
- Voyant Guide
- NgramReader+ Lite for Classical Arabic Corpus
- jsLDA topic modeling (David Mimno)
- Sentiment Analysis in Arabic
- The Open Islamicate Texts Initiative
- LINKED JAZZ
- AtlasTI
- TAPOR
- Digital Ottoman Studies