Research Help: Digital Humanities: Text Mining, Encoding & Analysis

Text Analysis Definition

Textual analysis in digital humanities is the computational examination and interpretation of textual data to uncover patterns, themes, and insights. It involves using computational techniques and tools to analyze large collections of texts, enabling researchers to gain new perspectives and understandings from the data.

This text was written with the help of ChatGPT, a machine learning large language model that generates text based on user input.

Example of Digital Humanities Project using Text Analysis

Women Writers Project

Additional Examples of Digital Humanities Projects Using Text Analysis

Distant Reading and the Digital Humanities

Software and Tools

Voyant
Free web-based text analysis tool
TAPoR3
Site that lists free and easy to use text analysis tools
OpenRefine
Free open source tool useful when "working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data."
Google Ngram Viewer
Enter terms or phrases to see how they occurred in a corpus of British English, English Fiction, and French books over a period of time.
MALLET - machine learning for language toolkit
"Open source Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text"

Text Analysis: A Walking Tour of What People are Using in Digital Humanities Right Now

A 30 minute video demonstrating how text analysis tools are being used in digital humanities.