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 81–90 of 881 papers

Title	Date	Tasks	Status
Aggregating Continuous Word Embeddings for Information Retrieval	Aug 1, 2013	Information RetrievalRetrieval	—Unverified
A Network Framework for Noisy Label Aggregation in Social Media	Jul 1, 2017	Cultural Vocal Bursts Intensity PredictionImage Classification	—Unverified
Active Learning with Constrained Topic Model	Jun 1, 2014	Active Learningmodel	—Unverified
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process	Jun 26, 2015	Topic ModelsVariational Inference	—Unverified
A Geometrical Approach to Topic Model Estimation	Aug 16, 2016	modelTopic Models	—Unverified
A Bayesian Nonparametric Topic Model with Variational Auto-Encoders	Jan 1, 2018	Representation LearningRetrieval	—Unverified
An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures	Sep 1, 2021	Bayesian OptimizationTopic Models	—Unverified
Anchors Regularized: Adding Robustness and Extensibility to Scalable Topic-Modeling Algorithms	Jun 1, 2014	Domain AdaptationMachine Translation	—Unverified
A General Method for Robust Bayesian Modeling	Oct 17, 2015	regressionTopic Models	—Unverified
An Automatic Approach for Document-level Topic Model Evaluation	Jun 16, 2017	Topic Models	—Unverified

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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