Supplementary material for paper "xSPAM: Introducing and Evaluating Explainability for a Supervised Topic Model" 1_xSPAM_Dataset_20newsgroups.ipynb # Code for the xSPAM model for the 20 newsgroup dataset. 1_xSPAM_Dataset_arxiv.ipynb # Code for the xSPAM model for the Arxiv dataset. 2_Dataset_20newsgroups-sLDA.ipynb # Code for the sLDA model for the 20 newsgroup dataset. 2_Dataset_arxiv-own-SLDA.ipynb # Code for the sLDA model for the Arxiv dataset. 3_Dataset_20newsgroups-bertopic.ipynb # Code for the bertopicmodel for the 20 newsgroup dataset. 3_Dataset_arxiv-bertopic.ipynb # Code for the bertopicmodel for the Arxiv dataset. tomotopy_pam.zip # Compiled python extension together with python. Can be placed inside the site-packages folder in your python environment. src.zip # Source code for the python extension xSPAM user-study questionair.pdf # The Questionair that the participants got. xSPAM user-study answers.pdf # The answers received from participants, excluding the open questions for anonymity reasons.