Determination of the Number of Topics Intrinsically: Is It Possible?

arXiv:2406.10402 · cs.CL, cs.IR, math.PR · Submitted 2024-06-14 · Read on arXiv

Victor Bulatov, Vasiliy Alekseev, Konstantin Vorontsov

cs.CL, cs.IR, math.PR

Submitted: 2024-06-14

Updated: 2026-08-21

Code: https://github.com/nikita-moor/ldatuninghttps:

Terminology

Perplexity — 14× in this paper · explained in 3 episodes
Clustering — 10× in this paper · explained in 2 episodes
Regularization — 3× in this paper · explained in 3 episodes
Sparsity — 2× in this paper · explained in 4 episodes
Akaike Information Criterion — 1× in this paper
Bayesian Information Criterion — 1× in this paper
Benchmarking — 1× in this paper · explained in 3 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Minimum Description Length — 1× in this paper
Model-Agnostic — 1× in this paper · explained in 2 episodes
Pairwise Comparisons — 1× in this paper · explained in 2 episodes
Pruning — 1× in this paper · explained in 4 episodes
Working Conference on Mining Software Repositories — 1× in this paper

Sources

"Look Ma, No Hands!" A Parameter-Free Topic Model

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