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

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

17 July 2023
Daniel Atzberger
Tim Cech
Willy Scheibel
Matthias Trapp
R. Richter
Jürgen Döllner
Tobias Schreck
ArXivPDFHTML

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

2 / 2 papers shown
Title
HINTs: Sensemaking on large collections of documents with Hypergraph
  visualization and INTelligent agents
HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents
Sam Yu-Te Lee
Kwan-Liu Ma
43
2
0
05 Mar 2024
Revisiting Dimensionality Reduction Techniques for Visual Cluster
  Analysis: An Empirical Study
Revisiting Dimensionality Reduction Techniques for Visual Cluster Analysis: An Empirical Study
Jiazhi Xia
Yuchen Zhang
Jie Song
Yang Chen
Yunhai Wang
Shixia Liu
29
46
0
06 Oct 2021
1