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 741–750 of 881 papers

Title	Date	Tasks	Status
Neural Variational Inference for Text Processing	Nov 19, 2015	Answer SelectionQuestion Answering	CodeCode Available
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise	Jul 31, 2018	Collaborative FilteringRecommendation Systems	CodeCode Available
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions	Feb 27, 2018	ClusteringOutlier Detection	CodeCode Available
Exploring Topic Coherence over Many Models and Many Topics	Jul 1, 2012	Document ClassificationInformation Retrieval	CodeCode Available
Discriminative Topic Mining via Category-Name Guided Text Embedding	Aug 20, 2019	Document ClassificationGeneral Classification	CodeCode Available
A Survey on Bayesian Deep Learning	Apr 6, 2016	Deep LearningObject Recognition	CodeCode Available
CWTM: Leveraging Contextualized Word Embeddings from BERT for Neural Topic Modeling	May 16, 2023	Document ClassificationLanguage Modelling	CodeCode Available
A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics	May 17, 2018	Topic Modelsvalid	CodeCode Available
Nonparametric Spherical Topic Modeling with Word Embeddings	Apr 1, 2016	Topic ModelsVariational Inference	CodeCode Available
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency	Nov 5, 2016	Language ModelingLanguage Modelling	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