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 401–450 of 881 papers

TitleStatusHype
Network Visualisations for Exploring Political Concepts—0
Neural Attention-Aware Hierarchical Topic Model—0
Neural-DINF: A Neural Network based Framework for Measuring Document Influence—0
Neural Dynamic Focused Topic Model—0
Neural Embedding Allocation: Distributed Representations of Topic Models—0
Neural Sparse Topical Coding—0
Neural Storyline Extraction Model for Storyline Generation from News Articles—0
Neural Topic Modeling with Deep Mutual Information Estimation—0
Neural Topic Model with Reinforcement Learning—0
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization—0
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes—0
Nonparametric Relational Topic Models through Dependent Gamma Processes—0
Nonparametric Topic Modeling with Neural Inference—0
On confidence intervals for precision matrices and the eigendecomposition of covariance matrices—0
One Objective for All Models --- Self-supervised Learning for Topic Models—0
Understanding The Robustness of Self-supervised Learning Through Topic Modeling—0
Online Adaptor Grammars with Hybrid Inference—0
Online Bayesian Passive-Aggressive Learning—0
Online influence, offline violence: Language Use on YouTube surrounding the 'Unite the Right' rally—0
Online Learning for Latent Dirichlet Allocation—0
Online Multilingual Topic Models with Multi-Level Hyperpriors—0
Online Polylingual Topic Models for Fast Document Translation Detection—0
Online topic model for Twitter considering dynamics of user interests and topic trends—0
On some provably correct cases of variational inference for topic models—0
Optimal estimation of sparse topic models—0
Overlapping Clustering Models, and One (class) SVM to Bind Them All—0
Painsight: An Extendable Opinion Mining Framework for Detecting Pain Points Based on Online Customer Reviews—0
Painting Analysis Using Wavelets and Probabilistic Topic Models—0
PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space—0
Paying down metadata debt: learning the representation of concepts using topic models—0
Predicting Good Configurations for GitHub and Stack Overflow Topic Models—0
Perplexity on Reduced Corpora—0
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields—0
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis—0
Pivot-Based Topic Models for Low-Resource Lexicon Extraction—0
Polylingual Tree-Based Topic Models for Translation Domain Adaptation—0
POS Tagging Experts via Topic Modeling—0
Posterior contraction of the population polytope in finite admixture models—0
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm—0
Practical issues in developing semantic frameworks for the analysis of verbal fluency data: A Norwegian data case study—0
Precision-Recall Balanced Topic Modelling—0
Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing—0
Prediction-Constrained Topic Models for Antidepressant Recommendation—0
Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models—0
Prediction Focused Topic Models for Electronic Health Records—0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge—0
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge—0
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models—0
Probabilistic Distributional Semantics with Latent Variable Models—0
Probable convexity and its application to Correlated Topic Models—0
Show:102550
← PrevPage 9 of 18Next →
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