Row-stochastic Matrix and Tensor DEDICOM

This repository provides the source code to the papers

1. "Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM" [1].
2. "Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM" [2].

Installation

You can install both packages independently via the setup.py files in the corresponding paper directories. Find more information in the respective paper directory README files.

References

[1] Hillebrand, Biesner et. al. (2020). Interpretable Topic Extraction and Word Embedding Learning Using Row-Stochastic DEDICOM. Published at CD-MAKE 2020.

[2] Hillebrand, Biesner et. al. (2021). Interpretable Topic Extraction and Word Embedding Learning Using Non-Negative Tensor DEDICOM. Published at Machine Learning and Knowledge Extraction Journal.