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 201210 of 881 papers

TitleStatusHype
A Topic Coverage Approach to Evaluation of Topic ModelsCode0
Diversity-Aware Coherence Loss for Improving Neural Topic ModelsCode0
ProSiT! Latent Variable Discovery with PROgressive SImilarity ThresholdsCode0
Dirichlet belief networks for topic structure learningCode0
Dirichlet Variational AutoencoderCode0
Refining Dimensions for Improving Clustering-based Cross-lingual Topic ModelsCode0
Document Informed Neural Autoregressive Topic Models with Distributional PriorCode0
Discovering Discrete Latent Topics with Neural Variational InferenceCode0
Learning document embeddings along with their uncertaintiesCode0
Discriminative Topic Modeling with Logistic LDACode0
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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