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 751760 of 881 papers

TitleStatusHype
Familia: A Configurable Topic Modeling Framework for Industrial Text EngineeringCode0
Familia: An Open-Source Toolkit for Industrial Topic ModelingCode0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related CollectionsCode0
n-stage Latent Dirichlet Allocation: A Novel Approach for LDACode0
Bayesian Allocation Model: Inference by Sequential Monte Carlo for Nonnegative Tensor Factorizations and Topic Models using Polya UrnsCode0
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic ModelingCode0
On a Guided Nonnegative Matrix FactorizationCode0
Federated Neural Topic ModelsCode0
On a Topic Model for SentencesCode0
Stochastic Variational InferenceCode0
Show:102550
← PrevPage 76 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