Digital Humanities Tools and Resources

Computational text analysis tools allow scholars to read bodies of text in new ways by using machine learning to pick up on word frequency patterns in texts. This process, often called “distant reading” or “topic modeling,” can complement traditional close reading by providing insights into patterns such as word usage, psychological tendencies, and language commonly associated with historical events, etc. that a human might not be able to easily notice without the assistance of computational tools. To explore the capabilities of text analysis programs, please refer to the list of commonly used tools below.