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
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
From Word Vectors to Multimodal Embeddings: Techniques, Applications, and Future Directions For Large Language Models—0
Multi-environment Topic Models—0
Reliability of Topic ModelingCode0
Evolving Voices Based on Temporal Poisson Factorisation—0
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors—0
Scalable Weibull Graph Attention Autoencoder for Modeling Document NetworksCode0
More than Memes: A Multimodal Topic Modeling Approach to Conspiracy Theories on Telegram—0
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs—0
Embedded Topic Models Enhanced by Wikification—0
AutoTM 2.0: Automatic Topic Modeling Framework for Documents Analysis—0
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization—0
Investigating the Impact of Text Summarization on Topic Modeling—0
Topic Modeling with Fine-tuning LLMs and Bag of SentencesCode0
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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