Research with LiteraryDJ

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

How LiteraryDJ Supports Research

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.

Datasets

Curated corpora of public domain literature, with the metadata to support remix experiments.

Hover a word to see its source.

Visualizations

Explore interactive views for tracing echoes, clusters, themes, and relationships as they repeat across texts, then remix those same patterns into new stories.

Lyrical Torus Knots · OutKast · drag to turn

NLP Tools

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

Every fragment keeps its writer, poem and edition.

Playful, Accessible Inquiry

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.

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