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 150 of 881 papers

TitleStatusHype
BERTopic: Neural topic modeling with a class-based TF-IDF procedureCode5
S^3 -- Semantic Signal SeparationCode2
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic ModelCode2
Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooMCode2
A Survey on Neural Topic Models: Methods, Applications, and ChallengesCode2
TopicGPT: A Prompt-based Topic Modeling FrameworkCode2
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
Top2Vec: Distributed Representations of TopicsCode2
Cross-lingual Contextualized Topic Models with Zero-shot LearningCode2
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic CoherenceCode2
Neural Topic Modeling with Large Language Models in the LoopCode1
Iterative Improvement of an Additively Regularized Topic ModelCode1
Determination of the Number of Topics Intrinsically: Is It Possible?Code1
Modeling Dynamic Topics in Chain-Free Fashion by Evolution-Tracking Contrastive Learning and Unassociated Word ExclusionCode1
Enhanced Short Text Modeling: Leveraging Large Language Models for Topic RefinementCode1
Improving the TENOR of Labeling: Re-evaluating Topic Models for Content AnalysisCode1
DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLMCode1
Effective Neural Topic Modeling with Embedding Clustering RegularizationCode1
Revisiting Automated Topic Model Evaluation with Large Language ModelsCode1
InfoCTM: A Mutual Information Maximization Perspective of Cross-Lingual Topic ModelingCode1
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial LearningCode1
ANTM: An Aligned Neural Topic Model for Exploring Evolving TopicsCode1
Are Neural Topic Models Broken?Code1
HyperMiner: Topic Taxonomy Mining with Hyperbolic EmbeddingCode1
Nonparametric Forest-Structured Neural Topic ModelingCode1
Twitmo: A Twitter Data Topic Modeling and Visualization Package for RCode1
Seed-Guided Topic Discovery with Out-of-Vocabulary SeedsCode1
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for TopicsCode1
Topic Discovery via Latent Space Clustering of Pretrained Language Model RepresentationsCode1
Keyword Assisted Embedded Topic ModelCode1
Contrastive Learning for Neural Topic ModelCode1
Phrase-BERT: Improved Phrase Embeddings from BERT with an Application to Corpus ExplorationCode1
Apples to Apples: A Systematic Evaluation of Topic ModelsCode1
Is Automated Topic Model Evaluation Broken?: The Incoherence of CoherenceCode1
Sawtooth Factorial Topic Embeddings Guided Gamma Belief NetworkCode1
Non-negative matrix factorization algorithms greatly improve topic model fitsCode1
Is Automated Topic Model Evaluation Broken? The Incoherence of CoherenceCode1
OCTIS: Comparing and Optimizing Topic models is Simple!Code1
Using Transformer based Ensemble Learning to classify Scientific ArticlesCode1
Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling DecoderCode1
TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic ModelsCode1
TopicModel4J: A Java Package for Topic ModelsCode1
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic EmbeddingCode1
Improving Neural Topic Models using Knowledge DistillationCode1
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect DetectionCode1
Neural Topic Model via Optimal TransportCode1
Hierarchical Topic Mining via Joint Spherical Tree and Text EmbeddingCode1
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity DetectionCode1
Graph Structural-topic Neural NetworkCode1
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!Code1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.69Unverified
2GSMC_v0.55Unverified
3vNVDMC_v0.52Unverified
4ETMC_v0.51Unverified
5NSTMC_v0.38Unverified
6ProdLDAC_v0.35Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
2vNVDMC_v0.44Unverified
3GSMC_v0.41Unverified
4ETMC_v0.41Unverified
5NSTMC_v0.37Unverified
6ProdLDAC_v0.32Unverified
#ModelMetricClaimedVerifiedStatus
1NVDMTest perplexity836Unverified
2Bayesian SMMTest perplexity515Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC83.24Unverified
2TopicEqTopic Coherence@500.1Unverified
#ModelMetricClaimedVerifiedStatus
1vONTSSC_v0.49Unverified
#ModelMetricClaimedVerifiedStatus
1JoSHMACC90.91Unverified