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
BERTopic: Neural topic modeling with a class-based TF-IDF procedureCode5
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooMCode2
S^3 -- Semantic Signal SeparationCode2
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
A Survey on Neural Topic Models: Methods, Applications, and ChallengesCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic ModelCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
TopicGPT: A Prompt-based Topic Modeling FrameworkCode2
Top2Vec: Distributed Representations of TopicsCode2
How Many Topics? Stability Analysis for Topic ModelsCode1
A Graph Convolutional Topic Model for Short and Noisy Text StreamsCode1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect DetectionCode1
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
Are Neural Topic Models Broken?Code1
Graph Structural-topic Neural NetworkCode1
HPI-DHC at TREC 2018 Precision Medicine TrackCode1
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep ArchitectureCode1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Effective Neural Topic Modeling with Embedding Clustering RegularizationCode1
A Gamma-Poisson Mixture Topic Model for Short TextCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
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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