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 76–100 of 881 papers

TitleStatusHype
A new LDA formulation with covariates—0
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models—0
Adapting Topic Models using Lexical Associations with Tree Priors—0
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation—0
Bayesian Analysis of Dynamic Linear Topic Models—0
Aggregating Continuous Word Embeddings for Information Retrieval—0
A Network Framework for Noisy Label Aggregation in Social Media—0
Active Learning with Constrained Topic Model—0
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process—0
A Geometrical Approach to Topic Model Estimation—0
A Bayesian Nonparametric Topic Model with Variational Auto-Encoders—0
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures—0
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms—0
A General Method for Robust Bayesian Modeling—0
Analyzing Framing through the Casts of Characters in the News—0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
A Computationally Efficient Algorithm for Learning Topical Collocation Models—0
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis—0
BART-TL: Weakly-Supervised Topic Label Generation—0
Benchmarking Neural Topic Models: An Empirical Study—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Asynchronous Distributed Learning of Topic Models—0
An Automatic Approach for Document-level Topic Model Evaluation—0
ATM:Adversarial-neural Topic Model—0
Assessing Violence Risk in Threatening Communications—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