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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 211–220 of 881 papers

Title	Date	Tasks	Status	Score
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation	Dec 9, 2020	document understandingInformation Retrieval	CodeCode Available	5
Document Informed Neural Autoregressive Topic Models	Aug 11, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling	Mar 28, 2023	DecoderTopic Models	CodeCode Available	5
Seeded Poisson Factorization: Leveraging domain knowledge to fit topic models	Mar 4, 2025	Computational EfficiencyTopic Models	CodeCode Available	5
Software Framework for Topic Modelling with Large Corpora	Jan 1, 2010	Topic Models	CodeCode Available	5
Source-LDA: Enhancing probabilistic topic models using prior knowledge sources	Jun 2, 2016	Topic Models	CodeCode Available	5
Discriminative Topic Modeling with Logistic LDA	Sep 3, 2019	Topic Models	CodeCode Available	5
Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models	Jun 11, 2015	Topic Models	CodeCode Available	5
Diversity-Aware Coherence Loss for Improving Neural Topic Models	May 25, 2023	DiversityTopic Models	CodeCode Available	5
Learning document embeddings along with their uncertainties	Aug 20, 2019	Topic ModelsVariational Inference	CodeCode Available	5

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All datasets 20NewsGroups AG News 20 Newsgroups Arxiv HEP-TH citation graph AgNews NYT

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	vONTSS	C_v	0.69	—	Unverified
2	GSM	C_v	0.55	—	Unverified
3	vNVDM	C_v	0.52	—	Unverified
4	ETM	C_v	0.51	—	Unverified
5	NSTM	C_v	0.38	—	Unverified
6	ProdLDA	C_v	0.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	vONTSS	C_v	0.49	—	Unverified
2	vNVDM	C_v	0.44	—	Unverified
3	GSM	C_v	0.41	—	Unverified
4	ETM	C_v	0.41	—	Unverified
5	NSTM	C_v	0.37	—	Unverified
6	ProdLDA	C_v	0.32	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NVDM	Test perplexity	836	—	Unverified
2	Bayesian SMM	Test perplexity	515	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JoSH	MACC	83.24	—	Unverified
2	TopicEq	Topic Coherence@50	0.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	vONTSS	C_v	0.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	JoSH	MACC	90.91	—	Unverified