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 151–160 of 881 papers

TitleStatusHype
Improving Contextualized Topic Models with Negative SamplingCode0
Improving Neural Topic Models with Wasserstein Knowledge DistillationCode0
Graph neural topic model with commonsense knowledgeCode0
Federated Variational Inference Methods for Structured Latent Variable Models—0
You Are What You Talk About: Inducing Evaluative Topics for Personality Analysis—0
Neural Dynamic Focused Topic ModelCode0
Improving the Inference of Topic Models via Infinite Latent State Replications—0
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Topics in Contextualised Attention Embeddings—0
Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69—Unverified
2GSMC_v0.55—Unverified
3vNVDMC_v0.52—Unverified
4ETMC_v0.51—Unverified
5NSTMC_v0.38—Unverified
6ProdLDAC_v0.35—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
2vNVDMC_v0.44—Unverified
3GSMC_v0.41—Unverified
4ETMC_v0.41—Unverified
5NSTMC_v0.37—Unverified
6ProdLDAC_v0.32—Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836—Unverified
2Bayesian SMMTest perplexity515—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24—Unverified
2TopicEqTopic Coherence@500.1—Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49—Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91—Unverified