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This repository contains a web-based evaluation platform that was designed and implemented to provide an easy way of annotating data and gathering statistics about the quality of the results obtained with the entity-based topic modeling pipeline that is avaiable for download here:

In addition to the platform itself, the project folder contains a gold standard on three different datasets that was obtained thanks to the effort of three human annotators (

Installation instructions:

  • install MySQL
  • install Node.js
  • run the following command in the project folder: npm install
  • change database information in config.js according to your needs
  • start the application: npm start

This project was part of the research that was done on Entity-based Topic Modeling by the Data and Web Science Research Group of the University of Mannheim. More information about our group can be found here:

Please do not forget to cite our work when using it in your project:

Anne Lauscher, Federico Nanni, Pablo Ruiz Fabo and Simone Paolo Ponzetto (2016): Entities as Topic Labels: Combining Entity Linking and Labeled LDA to Improve Topic Interpretability and Evaluability. In: Italian Journal of Computational Linguistics 2(2), pp. 67-88.

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