Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization

1 code implementation • 17 Jul 2023 • Daniel Atzberger, Tim Cech, Willy Scheibel, Matthias Trapp, Rico Richter, Jürgen Döllner, Tobias Schreck

Together with a subsequent dimensionality reduction algorithm, topic models can be used for deriving spatializations for text corpora as two-dimensional scatter plots, reflecting semantic similarity between the documents and supporting corpus analysis.

Dimensionality Reduction Semantic Similarity +2