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 721730 of 881 papers

TitleStatusHype
Reinforcement Learning for Topic ModelsCode0
Neural Machine Translation with Heterogeneous Topic Knowledge EmbeddingsCode0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Neural Models for Documents with MetadataCode0
Evaluating Topic Quality with Posterior VariabilityCode0
Large-Scale Stochastic Sampling from the Probability SimplexCode0
Neural Multimodal Topic Modeling: A Comprehensive EvaluationCode0
Computing Web-scale Topic Models using an Asynchronous Parameter ServerCode0
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority TopicsCode0
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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