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 821830 of 881 papers

TitleStatusHype
Latent Community Discovery with Network Regularization for Core Actors Clustering0
Monte Carlo Methods for Maximum Margin Supervised Topic Models0
Unsupervised Estimation of Word Usage Similarity0
Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models0
Entity Set Expansion using Interactive Topic Information0
Cross-Lingual Topic Alignment in Time Series Japanese / Chinese News0
Managing sparsity, time, and quality of inference in topic models0
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints0
Modelling Sequential Text with an Adaptive Topic Model0
SSHLDA: A Semi-Supervised Hierarchical Topic Model0
Show:102550
← PrevPage 83 of 89Next →

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