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
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
A network approach to topic modelsCode1
OCTIS: Comparing and Optimizing Topic models is Simple!Code1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect DetectionCode1
Are Neural Topic Models Broken?Code1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling DecoderCode1
Structural Regularities in Text-based Entity Vector SpacesCode1
Latent Dirichlet AllocationCode1
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