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Orange3 Argument Mining Add-on

This open-source Python package facilitates the processing, analysis, and visualization of argument corpora. Additionally, It offers user-friendly GUIs integrated into the Orange3 scientific workflow platform, enabling non-programmers to utilize its capabilities.


What Orange3 Argument Mining Add-on can do for you

This work is an open-source Python package that implements a pipeline of processing, analyzing, and visualizing an argument corpus and the attacking relationship inside the corpus. It also implements the corresponding GUIs on a scientific workflow platform named Orange3, so that users with little knowledge of Python programming can also benefit from it.

The package contains three components that can be used to build the workflow:

  • Chunker: Split arguments into smaller chunks, learn topics of chunks through topic modeling, measure sentiment and important of chunks within arguments.
  • Processor: Merge chunks and meta back to arguments, compute coherence and other potential measurements of arguments.
  • Miner: Build attack network of arguments, label supportive and defeated arguments based on the network structure.
Programming language
  • Python 100%
</>Source code

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center


Ji Qi
Ji Qi
Research Software Engineer
Netherlands eScience Center
Davide Ceolin
Centrum Wiskunde & Informatica (CWI)
Atefeh Keshavarzi Zafarghandi
Centrum Wiskunde & Informatica (CWI)

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