Datasets
Curated corpora of public domain literature, with the metadata to support remix experiments.
Research tools for remixing literature, archives, and computation.
LiteraryDJ is a platform for both creativity and research, with datasets, visualizations, and NLP tools for exploring research questions.
Built for Researchers
These tools are still in progress, and what you see here are previews. We plan to publish many of them on GitHub and in the forthcoming web app.
Curated corpora of public domain literature, with the metadata to support remix experiments.
Explore interactive views for tracing echoes, clusters, themes, and relationships as they repeat across texts, then remix those same patterns into new stories.
Tools for building careful, well-documented literary corpora and for measuring how language shifts across centuries of print.
A typical Markov remix
whenjustfeelingsto
Prepared for remixing
When justfeelings totell me
Many research questions are well suited to NLP and data visualization. How does a phrase travel through an archive? Where do themes cluster across a corpus? What changes when a text is segmented, recombined, or read at scale? The tools that can help answer these questions often assume a technical background before the work can begin.
LiteraryDJ aims to make these methods approachable for scholars, teachers, artists, students, and community researchers who know their materials deeply but may not write code. By turning pipelines and visual systems into remixable research environments, it supports exploratory reading, classroom experimentation, and public scholarship, while keeping the evidence accountable to humanistic interpretation.
A list of scholarly work that makes use of LiteraryDJ.
Using LiteraryDJ in your creative or academic work? We'd love to include it on this list.
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