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 51–75 of 881 papers

TitleStatusHype
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooMCode2
GINopic: Topic Modeling with Graph Isomorphism NetworkCode0
Neural Multimodal Topic Modeling: A Comprehensive EvaluationCode0
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMsCode0
Automating the Information Extraction from Semi-Structured Interview TranscriptsCode0
Membership Inference Attacks and Privacy in Topic ModelingCode0
The Geometric Structure of Topic Models—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
RankSum An unsupervised extractive text summarization based on rank fusion—0
Network-based Topic Structure VisualizationCode0
CFTM: Continuous time fractional topic model—0
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
A Survey on Neural Topic Models: Methods, Applications, and ChallengesCode2
Dynamic embedded topic models and change-point detection for exploring literary-historical hypotheses—0
Topic Modelling: Going Beyond Token Outputs—0
Short-Form Videos and Mental Health: A Knowledge-Guided Neural Topic Model—0
Discovering Significant Topics from Legal Decisions with Selective Inference—0
Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes—0
Contrastive News and Social Media Linking using BERT for Articles and Tweets across Dual Platforms—0
Revisiting Topic-Guided Language ModelsCode0
Labeled Interactive Topic Models—0
Profiling Irony & Stereotype: Exploring Sentiment, Topic, and Lexical Features—0
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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