Help on Topics Explorer

About

This application is designed to introduce topic modeling particularly gently (e.g. for educational purpose). If you have a very large text corpus, you may wish to use more powerful tools like MALLET, which is written in Java and can be completely controlled from the command-line. The topic modeling algorithm used in this application, latent Dirichlet allocation, was implemented by Allen B. Riddell using collapsed Gibbs sampling as described in Pritchard et al. (2000).

You might want to check out some Jupyter notebooks for topic modeling in Python – experimenting with an example corpus on Binder does not require any software on your local machine.

Issues

Please use the project’s issue tracker on GitHub, but consider first checking out the troubleshooting section on the application’s website.

What is topic modeling?

• David M. Blei, Probabilisitic Topic Models, in: Communications of the ACM 55 (2012).
• Megan R. Brett, Topic Modeling, A Basic Introduction, in: Journal of Digital Humanities 2 (2012).
• Matthew Jockers and David Mimno, Significant Themes in 19th-Century Literature, in: Poetics 41 (2013).
• Steffen Pielström, Severin Simmler, Thorsten Vitt and Fotis Jannidis, A Graphical User Interface for LDA Topic Modeling, in: Proceedings of the 28th Digital Humanities Conference (2018).

What is DARIAH-DE?

DARIAH-DE supports research in the humanities and cultural sciences with digital methods and procedures. The research infrastructure of DARIAH-DE consists of four pillars: teaching, research, research data and technical components. As a partner in DARIAH-EU, DARIAH-DE helps to bundle and network state-of-the-art activities of the digital humanities. Scientists use DARIAH, for example, to make research data available across Europe. The exchange of knowledge and expertise is thus promoted across disciplines and the possibility of discovering new scientific discourses is encouraged.

This application is developed with support from the DARIAH-DE initiative, the German branch of DARIAH-EU, the European Digital Research Infrastructure for the Arts and Humanities consortium. Funding has been provided by the German Federal Ministry for Research and Education (BMBF) under the identifier 01UG1610A to J.

License

This application is licensed under Apache 2.0. You can do what you like with the source code, as long as you include the original copyright, the full text of the Apache 2.0 license, and state significant changes. You cannot charge DARIAH-DE for damages, or use any of its trademarks like name or logos.