DABAI@DTU

Big data at the Technical University of Denmark: Let machines understand your data

Projects

Examples of some of our projects

Scholia

Scholia co-author graph

Scholia gives an overview of science with big data queries in the Wikidata knowledge graph. Scholia uses the Wikidata Query Service SPARQL endpoint to dynamically generate list of publications, co-author and citation graphs, etc.

Web app Example for DABAI Paper

AFINN

AFINN

Sentiment analysis in several language. Annotated word lists are available in English, Danish and some other language. A Python package is available.

GitHub repo Paper

Wembedder

Wembedder

Similarity search in the Wikidata knowledge graph. Other Web applications can use Wembedder throught the API.

Web service Paper

Ordia

Wembedder

Web app for the Wikidata lexicographic knowledge graph.

Web app Danish text example Jupiter example Paper

Dasem

Dasem

Danish semantic analysis: Tools to handle free Danish corpora and other Danish language resources.

GitHub repo Paper

Danish resources

Danish resources

Curated and annotated list of links to tools and data with respect to the Danish language.

"Danish resources" PDF "Awesome Danish"

Danspeech

Danspeech

An open-source Python package for Danish speech recognition.

GitHub repo Documentation

Publications

Team

Machine learner, data miners, statisticians, ...

Finn Årup Nielsen

Finn Årup Nielsen

Associate Professor

Lars Kai Hansen

Professor

Contact

DABAI@DTU is located at Department of Applied Mathematics and Computer Science (DTU Compute) in building 324 and 321 at the Technical University of Denmark campus in Kongens Lyngby.

DABAI@DTU is part of the national DABAI project (DAnish Center for Big Data Analytics driven Innovation) funded by Innovation Fund Denmark.

  • Phone: +45 45 25 38 89
  • Email: lkai@dtu.dk (Lars Kai Hansen)
  • Address: Richard Petersens Plads Bygning 324 2800 Kgs. Lyngby, Denmark