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  1. Digital Scholarship
  2. DS Methods Overview
  3. ¶ Text Analysis

Text Analysis Examples

PreviousOut of the Box vs Coding and ScriptingNextIntroduction to Data

Last updated 4 years ago

Humanities Example

In this text analysis example, Ted Underwood and David Bamman used BookNLP, a Java-based natural language processing code, to explore gender in 93,708 English-language fiction volumes. They articulate one of their major discoveries as follows:

There is a clear decline from the nineteenth century (when women generally take up 40% or more of the “character space” in fiction) to the 1950s and 60s, when their prominence hovers around a low of 30%. A correction, beginning in the 1970s, almost restores fiction to its nineteenth-century state. (One way of thinking about this: second-wave feminism was a desperately-needed rescue operation.)

Science Example

Here , a database containing thousands of scholarly articles about COVID-19 and other related coronaviruses, provides a and visualization of 2437 journal articles. The approach they used, , is a natural language processing based generative statistical model.

CORD-19
topic model
latent Dirichlet allocation (LDA)
Visit to interact with the visualization.
Visit their blog post to learn more about their methods and discoveries.
A visualization from Underwood and Bamman's text analysis.
The topics identified
The visualization (color indicates the topic and the node size reflects the number of citations)