Technical Details

DATS is built on a modern, highly scalable architecture designed to democratize advanced Natural Language Processing (NLP) and Artificial Intelligence for researchers in the digital humanities.

Because academic discourse analysis requires strict data sovereignty and absolute transparency, this section is dedicated to looking "under the hood." Here, we document the technical mechanisms, database architectures, and algorithms that power DATS, ensuring you know exactly how your data is being processed.

Explore this section to learn more about our "privacy-by-design" philosophy, our use of locally hosted open-weight models (such as Gemma, Whisper, and spaCy), and the complex, multimodal preprocessing pipeline that seamlessly converts images, audio, and text into a unified, searchable domain.