Document Topic Alignment Metrics for Evaluating Topic Models of Short-Text Public Health Communications on Social Media

arXiv:2609.14256 · cs.CL, cs.SI · Submitted 2026-09-13 · Read on arXiv

cs.CL, cs.SI

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: Accepted for publication in the Proceedings of the 60th Hawaii International Conference on System Sciences (HICSS 2027)

Code: https://github.com/maximtrp/bitermplus

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

Terminology

Alignment — 40× in this paper · explained in 1 episode
Semantic Alignment — 18× in this paper · explained in 3 episodes
Embeddings — 5× in this paper · explained in 2 episodes
Interpretability — 5× in this paper · explained in 15 episodes
Consistency — 4× in this paper · explained in 3 episodes
Sparsity — 4× in this paper · explained in 4 episodes
Redundancy — 3× in this paper · explained in 2 episodes
Robustness — 3× in this paper · explained in 5 episodes
Clustering — 2× in this paper · explained in 2 episodes
Contrastive Learning — 2× in this paper · explained in 5 episodes
Cosine Similarity — 2× in this paper · explained in 3 episodes
Latent Dirichlet Allocation — 2× in this paper
Semantic Similarity — 2× in this paper · explained in 2 episodes
Transformer — 2× in this paper · explained in 2 episodes
Biterm Topic Model — 1× in this paper
Decoupling — 1× in this paper · explained in 2 episodes
Downstream Tasks — 1× in this paper · explained in 2 episodes
Evaluation Dimensions — 1× in this paper · explained in 3 episodes
Generalizability — 1× in this paper · explained in 6 episodes
Large Language Model — 1× in this paper
Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
Perplexity — 1× in this paper · explained in 3 episodes

Sources

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