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 131–140 of 881 papers

Title	Date	Tasks	Status	Score
A Coefficient of Determination for Probabilistic Topic Models	Nov 20, 2019	Topic Models	CodeCode Available	5
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation	Dec 9, 2020	document understandingInformation Retrieval	CodeCode Available	5
Explainable and Discourse Topic-aware Neural Language Understanding	Jun 18, 2020	Document ClassificationLanguage Modeling	CodeCode Available	5
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections	Aug 19, 2015	Topic Models	CodeCode Available	5
HOTTER: Hierarchical Optimal Topic Transport with Explanatory Context Representations	Nov 1, 2021	Information RetrievalLanguage 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
Document Informed Neural Autoregressive Topic Models with Distributional Prior	Sep 15, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
A Practical Algorithm for Topic Modeling with Provable Guarantees	Dec 19, 2012	Dimensionality ReductionTopic Models	CodeCode Available	5
Document Informed Neural Autoregressive Topic Models	Aug 11, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
Discovering Discrete Latent Topics with Neural Variational Inference	Jun 1, 2017	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