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 791–800 of 881 papers

Title	Date	Tasks	Status
Document Informed Neural Autoregressive Topic Models	Aug 11, 2018	Language ModelingLanguage Modelling	CodeCode Available
Graph neural topic model with commonsense knowledge	Mar 2, 2023	Graph Neural Networkmodel	CodeCode Available
Document Informed Neural Autoregressive Topic Models with Distributional Prior	Sep 15, 2018	Language ModelingLanguage Modelling	CodeCode Available
Partial Membership Latent Dirichlet Allocation	Nov 9, 2015	parameter estimationSand	CodeCode Available
Partial Membership Latent Dirichlet Allocation	Dec 28, 2016	parameter estimationSand	CodeCode Available
Guaranteed inference in topic models	Dec 10, 2015	Topic Models	CodeCode Available
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models	Jun 13, 2024	Language ModelingLanguage Modelling	CodeCode Available
A Disentangled Adversarial Neural Topic Model for Separating Opinions from Plots in User Reviews	Oct 22, 2020	DisentanglementSentiment Analysis	CodeCode Available
Locating the Leading Edge of Cultural Change	Nov 22, 2024	Topic Models	CodeCode Available
Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks	Oct 13, 2024	DecoderGraph Attention	CodeCode Available

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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