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 441450 of 881 papers

TitleStatusHype
A Double Parametric Bootstrap Test for Topic Models0
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models0
Identifying Patterns of Associated-Conditions through Topic Models of Electronic Medical Records0
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time0
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks0
Taking into account Inter-sentence Similarity for Update Summarization0
Information Bottleneck Inspired Method For Chat Text Segmentation0
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions0
Topic Modeling based on Keywords and ContextCode1
SpectralLeader: Online Spectral Learning for Single Topic Models0
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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