Each individual lesson contains suggested further readings on the particular topic discussed in that section. Here we wanted to gather two types of resources. First, we wanted to gather a few more useful tidbits that didn’t fit well anywhere but that will be helpful to anyone exploring text analysis. Second, we wanted to point you towards other fantastic tutorials and textbooks for text analysis that go further in depth than we do here. Interested browsers should also check out the lessons on particular topics of interest to make sure you see any and all resources.
Secondary Readings on the Digital Humanities
- Digital Humanities Zotero Group
- Leary, Patrick. “Googling the Victorians.”
- Moretti, Franco. Graphs, Maps, Trees.
- Kirsch, Adam. “Technology is Taking Over English Departments: The False Promise of the Digital Humanities.”
- LA Review of Books, The Digital in the Humanities series
- Rockwell, Geoffrey and Stéfan Sinclair. Hermeneutica: Computer-Assisted Interpretation in the Humanities.
Tutorials and Textbooks
- Arnold, Taylor and Lauren Tilton. Humanities Data in R.
- Bird, Steven, Ewan Klein, and Edward Loper. Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit.
- Crymble, Adam, Fred Gibbs, Allison Hegel, Caleb McDaniel, Ian Milligan, Evan Taparata, Amanda Visconti, and Jeri Wieringa, eds. The Programming Historian.
- Graham, Shawn, Ian Milligan, and Scott Weingart. Exploring Big Historical Data: The Historian’s Macroscope.
- Jockers, Matt. Text Analysis with R for Students of Literature.
Applications of Text Analysis
- Quantifying Kissinger
- Viral Texts
- Syuzhet Part One, Syuzhet Part Two
- Mining the Dispatch
- How a Computer Program Helped Show J.K. Rowling write A Cuckoo’s Calling
- Text Analysis of Trump’s Tweets Confirms He Writes only the (Angrier) Android Half
- Walmart Gets Its Worst Yelp Reviews in Black and Latino Neighborhoods