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 111–120 of 881 papers

Title	Date	Tasks	Status	Score
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering	Aug 11, 2018	Topic Models	CodeCode Available	5
Discovering Discrete Latent Topics with Neural Variational Inference	Jun 1, 2017	Topic ModelsVariational Inference	CodeCode Available	5
Analyses of Multi-collection Corpora via Compound Topic Modeling	Jun 17, 2019	Topic ModelsVariational Inference	CodeCode Available	5
Discriminative Topic Modeling with Logistic LDA	Sep 3, 2019	Topic Models	CodeCode Available	5
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	May 17, 2018	Topic Modelsvalid	CodeCode Available	5
Dirichlet Variational Autoencoder	Jan 9, 2019	DecoderGeneral Classification	CodeCode Available	5
Diversity-Aware Coherence Loss for Improving Neural Topic Models	May 25, 2023	DiversityTopic Models	CodeCode Available	5
KATE: K-Competitive Autoencoder for Text	May 4, 2017	Document ClassificationRetrieval	CodeCode Available	5
Adaptive Mixed Component LDA for Low Resource Topic Modeling	Apr 1, 2021	Topic Models	CodeCode Available	5
A Scalable Asynchronous Distributed Algorithm for Topic Modeling	Dec 16, 2014	Topic Models	CodeCode Available	5

Show:10 25 50

← PrevPage 12 of 89Next →

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