Discover themes in your text corpus using LDA. No coding, no setup, no compromise on transparency.
Upload your corpus, configure parameters with sliders, and run LDA topic modeling entirely in your browser. Designed for literary scholars, historians, and digital humanists who want rigorous analysis without writing a single line of code.
Full preprocessing trace: see exactly which tokens were kept, removed, or lemmatized. Nothing is a black box.
Built-in support for English, Italian, French, German, and Spanish with spaCy language models and per-language stopword lists.
Fixed random seed ensures identical results every time. Fully reproducible.
CSV matrices, PNG/SVG charts, PDF report, and a full ZIP archive.
Drag and drop your text files (TXT, PDF, DOCX, ODT, EPUB) or paste text directly.
Choose your language, number of topics, POS filters, and stopwords. Smart defaults get you started fast.
Explore interactive topic charts, heatmaps, distributions, and word clouds. Export results in one click.
@software{koran_lemmata_2026, author = {Koran, Oğuz and Cangır, Hakan and Yücesan, Barış}, title = {Lemmata: A Multilingual {LDA} Topic Modeling Platform for the Humanities}, year = {2026}, doi = {10.5281/zenodo.19391730}, url = {https://lemmata.app}, note = {Software available at https://github.com/oguzkoran-max/lemmata} }