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

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Showing 26–50 of 881 papers

TitleStatusHype
Non-negative matrix factorization algorithms greatly improve topic model fitsCode1
Contrastive Learning for Neural Topic ModelCode1
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
A Graph Convolutional Topic Model for Short and Noisy Text StreamsCode1
How Many Topics? Stability Analysis for Topic ModelsCode1
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Effective Neural Topic Modeling with Embedding Clustering RegularizationCode1
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
A network approach to topic modelsCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Graph Structural-topic Neural NetworkCode1
Are Neural Topic Models Broken?Code1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingCode1
Improving Neural Topic Models using Knowledge DistillationCode1
Is Automated Topic Model Evaluation Broken? The Incoherence of CoherenceCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
Autoencoding Variational Inference For Topic ModelsCode1
Keyword Assisted Embedded Topic ModelCode1
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep ArchitectureCode1
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
Neural Topic Modeling with Bidirectional Adversarial TrainingCode1
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
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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