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 851–875 of 881 papers

TitleStatusHype
Multilingual Anchoring: Interactive Topic Modeling and Alignment Across LanguagesCode0
Source-LDA: Enhancing probabilistic topic models using prior knowledge sourcesCode0
Topic Modeling with Fine-tuning LLMs and Bag of SentencesCode0
Sparse Parallel Training of Hierarchical Dirichlet Process Topic ModelsCode0
Sparse Partially Collapsed MCMC for Parallel Inference in Topic ModelsCode0
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional PriorCode0
Analyses of Multi-collection Corpora via Compound Topic ModelingCode0
Deep Dirichlet Multinomial RegressionCode0
Cutting through the noise to motivate people: A comprehensive analysis of COVID-19 social media posts de/motivating vaccinationCode0
Discovering Latent Themes in Social Media Messaging: A Machine-in-the-Loop Approach Integrating LLMsCode0
Contextualized Topic Coherence MetricsCode0
Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language ModelsCode0
Towards Autoencoding Variational Inference for Aspect-based Opinion SummaryCode0
Context Reinforced Neural Topic Modeling over Short TextsCode0
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter OptimisationCode0
jLDADMM: A Java package for the LDA and DMM topic modelsCode0
The Dynamic Embedded Topic ModelCode0
KATE: K-Competitive Autoencoder for TextCode0
Spherical Latent Spaces for Stable Variational AutoencodersCode0
Construction and Quality Evaluation of Heterogeneous Hierarchical Topic ModelsCode0
Constrained Relational Topic ModelsCode0
Knowledge-Aware Bayesian Deep Topic ModelCode0
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word VectorsCode0
Know thy corpus! Robust methods for digital curation of Web corporaCode0
Rapid Model Comparison by Amortizing Across ModelsCode0
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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