TopiCLEAR: Adaptive embedding clustering for interpretable topic discovery from short texts

arXiv:2512.06694 · cs.CL · Submitted 2025-12-07 · Read on arXiv

cs.CL

Submitted: 2025-12-07

Updated: 2026-08-27

Comments: 27 pages, 4 figures, code available at https://github.com/aoi8716/TopiCLEAR Revised version corresponding to the published article in Expert Systems with Applications

Journal ref: Expert Systems with Applications 333 (2027) 133996

DOI: 10.1016/j.eswa.2026.133996

Code: https://github.com/aoi8716/TopiCLEAR

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Clustering — 58× in this paper · explained in 2 episodes
• Embeddings — 46× in this paper · explained in 2 episodes
• Interpretability — 8× in this paper · explained in 15 episodes
• Generative AI — 6× in this paper · explained in 2 episodes
• Rand Index — 6× in this paper
• Adjusted Mutual Information — 5× in this paper
• Adjusted Rand Index — 5× in this paper
• Latent Dirichlet Allocation — 5× in this paper
• Adaptive Dimension Reduction — 4× in this paper
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Benchmark — 2× in this paper · explained in 2 episodes
• Biterm Topic Model — 2× in this paper
• Contextualized Topic Model — 2× in this paper
• Embedded Topic Model — 2× in this paper
• Pointwise Mutual Information — 2× in this paper
• Pointwise Mutual Information (PMI) — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gaussian Mixture Model (GMM) — 1× in this paper · explained in 2 episodes
• Gaussian Mixture Models — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering