SOTAVerified

Topic Models

A topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. Topic modeling is a frequently used text-mining tool for the discovery of hidden semantic structures in a text body.

Papers

Showing 5160 of 881 papers

TitleStatusHype
Effective Neural Topic Modeling with Embedding Clustering RegularizationCode1
A network approach to topic modelsCode1
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep ArchitectureCode1
Graph Structural-topic Neural NetworkCode1
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMCode1
Improving Neural Topic Models using Knowledge DistillationCode1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
Structural Regularities in Text-based Entity Vector SpacesCode1
Neural Topic Modeling with Large Language Models in the LoopCode1
Topic Modeling in Embedding SpacesCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified