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These python scripts was inteded to use as a Workshop to learn about Explainable Artificial Intelligence.

The Workshop is the Notebook named "workshop.ipynd", which is the only one which needs to be opened. The other scripts only contain functions that are imported into the Notebook, but they need to be placed in the same folder as the Notebook.

The LRP implementation is based on the following papers:

https://doi.org/10.1371/journal.pone.0130140 https://doi.org/10.18653/v1/W17-5221

And the functions are based on implementations from Layer-wise Relevance Propagation (LRP) for LSTMs:

https://github.com/ArrasL/LRP_for_LSTM

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Workshop where the users learn to use Explainable Artificial Intelligence. Here you will use Layer-Wise Relevance Propagation (LRP) to explain classification done by sentiment analysis, a type of Natural Language Processing (NLP).

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