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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 881 papers

TitleStatusHype
BERTopic: Neural topic modeling with a class-based TF-IDF procedureCode5
S^3 -- Semantic Signal SeparationCode2
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic ModelCode2
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooMCode2
A Survey on Neural Topic Models: Methods, Applications, and ChallengesCode2
TopicGPT: A Prompt-based Topic Modeling FrameworkCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
Top2Vec: Distributed Representations of TopicsCode2
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
Neural Topic Modeling with Large Language Models in the LoopCode1
Iterative Improvement of an Additively Regularized Topic ModelCode1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMCode1
Effective Neural Topic Modeling with Embedding Clustering RegularizationCode1
Revisiting Automated Topic Model Evaluation with Large Language ModelsCode1
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic ModelingCode1
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial LearningCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Are Neural Topic Models Broken?Code1
HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingCode1
Nonparametric Forest-Structured Neural Topic ModelingCode1
Show:102550
← PrevPage 1 of 36Next →
All datasets20NewsGroupsAG News20 NewsgroupsArxiv HEP-TH citation graphAgNewsNYT

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