Data and Digital Humanities Software

Voyant Tools is a web-based reading and analysis environment for digital texts.

Netlytic is a cloud-based text and social networks analyzer that can automatically summarize textual data and discover communication networks from publicly accessible social media posts.

Have you ever searched "free qualitative research software" only to be disappointed that nothing lets you tag your materials? Search no more! Taguette is a free and open-source tool for qualitative research. You can import your research materials, highlight and tag quotes, and export the results!

LERA is an interactive, digital tool for inspecting similarities and differences between multiple versions of a text. To achieve this, LERA divides the texts into passages and displays them next to each other. Using colored highlighting, differences between versions can be located easily in a critical apparatus. LERA features a variety of tools for efficiently exploring differences between versions of texts: an interactive outline visualization (CATview), interactive word clouds and clever search functionality. This way, LERA supports the user retrace and finally apprehend the authors intentions. LERA has been developed for collating texts to provide a basis for historical critical editions. If you would like to test LERA for an edition project, please contact us at: lera@uzi.uni-halle.de. We will provide you with your own instance of the current developer version on our servers, which you can access via a browser (Software as a Service).

DataBasic is a suite of easy-to-use web tools for beginners that introduce concepts of working with data. These simple tools make it easy to work with data in fun ways, so you can learn how to find great stories to tell.

When you enter phrases into the Google Books Ngram Viewer, it displays a graph showing how those phrases have occurred in a corpus of books (e.g., "British English", "English Fiction", "French") over the selected years

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. The toolkit is Open Source Software, and is released under the Apache 2.0 License. You are welcome to use the code under the terms of the licence for research or commercial purposes, however please acknowledge its use with a citation: McCallum, Andrew Kachites. "MALLET: A Machine Learning for Language Toolkit." http://mallet.cs.umass.edu. 2002.

TAMS stands for Text Analysis Markup System. It is a convention for identifying themes in texts (web pages, interviews, field notes). It was designed for use in ethnographic and discourse research.

Supports large-scale computational analysis of the works in the HathiTrust Digital Library to facilitate non-profit and educational research. This is a tool that W&M Libraries subscribes to and you can use you CAS to login.

Works with a range of data formats from text, Excel, PDFs, SPSS files, images and more. Offers transcription, annotation/memo management, visualization and reporting support. Provides free courses, tutorials and training on the software. William & Mary faculty, staff and students can download this by visiting software.wm.edu.

Software for finding patterns in text. Used world-wide by language students, teachers, researchers and investigators working in such fields as linguistics, literature, law, medicine, history, politics, sociology. Requires an individual or site license.