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.
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](https://orangedatamining.com/), 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.