Stanford Topic Modeling Toolbox (TMT) is a resource developed by The Stanford Natural Language Processing Group. TMT "brings topic modeling tools to social scientists and others who wish to perform analysis on datasets that have a substantial textual component". TMT features the ability to import and manipulate texts, train topics models to create textual summaries, and generate compatible "outputs for tracking word usage across topics, time, and other groupings of data". TMT was written in 2009-2010 and uses an old version of Scala. The program is no longer being updated and The Stanford Natural Language Processing Group is no longer providing support for the users but "some people still use it and find it a friendly piece of software for LDA and Labeled LDA models".