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 1–25 of 881 papers

TitleStatusHype
Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language ModelsCode0
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority TopicsCode0
topicwizard -- a Modern, Model-agnostic Framework for Topic Model Visualization and Interpretation—0
HAMLET: Healthcare-focused Adaptive Multilingual Learning Embedding-based Topic Modeling—0
Fully Bayesian Approaches to Topics over Time—0
Evaluating Negative Sampling Approaches for Neural Topic ModelsCode0
Multivariate Gaussian Topic Modelling: A novel approach to discover topics with greater semantic coherence—0
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic modelsCode0
Unsupervised Topic Models are Data Mixers for Pre-training Language Models—0
Large Language Models Struggle to Describe the Haystack without Human Help: Human-in-the-loop Evaluation of LLMs—0
Hierarchical Graph Topic Modeling with Topic Tree-based Transformer—0
Exploring the Technology Landscape through Topic Modeling, Expert Involvement, and Reinforcement Learning—0
Visual Exploration of Stopword Probabilities in Topic Models—0
BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study—0
Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives—0
Analyzing Aviation Safety Narratives with LDA, NMF and PLSA: A Case Study Using Socrata Datasets—0
Bidirectional Topic Matching: Quantifying Thematic Overlap Between Corpora Through Topic Modelling—0
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning—0
Refining Dimensions for Improving Clustering-based Cross-lingual Topic ModelsCode0
GloCOM: A Short Text Neural Topic Model via Global Clustering Context—0
Locating the Leading Edge of Cultural ChangeCode0
Provable unlearning in topic modeling and downstream tasks—0
Neural Topic Modeling with Large Language Models in the LoopCode1
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models—0
Multi-environment Topic Models—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