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

Showing 51–100 of 881 papers

TitleStatusHype
Contrastive Learning for Neural Topic ModelCode1
A network approach to topic modelsCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial LearningCode1
Neural Topic Modeling with Bidirectional Adversarial TrainingCode1
Are Neural Topic Models Broken?Code1
Keyword Assisted Embedded Topic ModelCode1
Improving Neural Topic Models using Knowledge DistillationCode1
HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingCode1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Graph Structural-topic Neural NetworkCode1
Neural Topic Model via Optimal TransportCode1
A Gamma-Poisson Mixture Topic Model for Short TextCode1
A Novel Feature-based Bayesian Model for Query Focused Multi-document Summarization—0
A Novel Fast Framework for Topic Labeling Based on Similarity-preserved Hashing—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
A Novel Content Enriching Model for Microblog Using News Corpus—0
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce—0
A Historical Analysis of the Field of OR/MS using Topic Models—0
A Bayesian Topic Model for Human-Evaluated Interpretability—0
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking—0
An Instability in Variational Inference for Topic Models—0
A Hierarchical Knowledge Representation for Expert Finding on Social Media—0
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