Skip to Main Content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
University Libraries
MSU Home | myGate | RacerNet | Canvas
Facebook Twitter Youtube Instagram Pinterest

Digital Humanities: Text Analysis

This guide provides resources for faculty and students working on digital humanities research involving text analysis/text mining.

Welcome to the Text Analysis Guide!

Welcome to the guide for Text Analysis at Murray State University Libraries. This guide will provide resources and examples for creating digital humanities projects which utilize text analysis/text mining. Currently this guide only covers basic approaches using Voyant Tools. Additional resources and examples will be provided in the future.

If you have any questions, or would like to collaborate with the library on a project, please contact David Sye.

Text Analytics and Constellate Beta

Murray State University is currently participating in the beta program for Constellate, a Text Analytics tool from JSTOR. The Constellate platform is a tool for learning and performing text analysis, building datasets, and sharing analytics course materials.

Please complete this form if you are a faculty/staff member or student and would like to learn more information: 

An example trendline of five terms in L. Frank Baum's The Wonderful Wizard of Oz created using Voyant Tools.