"Text analysis is fundamental to humanities scholarship and teaching because readers are always already analyzing text." Digital humanities projects organized around text often involve selecting or collecting texts in order to explore a research question; looking for patterns (of words, ideas, symbols, etc.) within texts; discovering relations between parts of texts, whole texts, or sets of texts, and interpreting the significance of these patterns, relations, and texts.
This description is adapted from Natalie M. Houston, Digital Pedagogy in the Digital Humanities
Voyant
Voyant is a tool that can be used to analyze digital texts and identify patterns that can become the basis for further research and analysis. To use the tool, you can 1) copy and paste URLs into the box; 2) copy and paste text, or 3) upload files in PDF or Word format.
I uploaded eight PDF files containing the synopsis of the president's senior staff meetings from 2023 as an example. Here is an analysis of how to interpret Voyant results.
Google Ngram Viewer
This is simple tool that will search for words in Google's corpus of scanned books. The X axis shows the year in which works from the corpus were published, and the Y axis shows the frequency with which the ngrams appear throughout the corpus. You can search for multiple words by separating them with commas.