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 126–150 of 881 papers

Title	Date	Tasks	Status	Score
Gaussian LDA for Topic Models with Word Embeddings	Jul 1, 2015	Topic ModelsWord Embeddings	CodeCode Available	5
A Coefficient of Determination for Probabilistic Topic Models	Nov 20, 2019	Topic Models	CodeCode Available	5
Federated Neural Topic Models	Dec 5, 2022	DiversityTopic Models	CodeCode Available	5
Generative Topic Embedding: a Continuous Representation of Documents	Aug 1, 2016	Document ClassificationTopic Models	CodeCode Available	5
Graph neural topic model with commonsense knowledge	Mar 2, 2023	Graph Neural Networkmodel	CodeCode Available	5
Exploring conversation topics in conversational artificial intelligence–Based social mediated communities of practice	May 11, 2022	Topic Modelsvalid	CodeCode Available	5
Exploring Topic Coherence over Many Models and Many Topics	Jul 1, 2012	Document ClassificationInformation Retrieval	CodeCode Available	5
Evaluating Topic Quality with Posterior Variability	Sep 8, 2019	Bayesian InferenceTopic Models	CodeCode Available	5
A Practical Algorithm for Topic Modeling with Provable Guarantees	Dec 19, 2012	Dimensionality ReductionTopic Models	CodeCode Available	5
Explainable and Discourse Topic-aware Neural Language Understanding	Jun 18, 2020	Document ClassificationLanguage Modeling	CodeCode Available	5
Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering	Aug 11, 2018	Topic Models	CodeCode Available	5
ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation	Aug 25, 2020	AttributeComputational Efficiency	CodeCode Available	5
A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations	Jul 25, 2024	DescriptiveDimensionality Reduction	CodeCode Available	5
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation	Dec 9, 2020	document understandingInformation Retrieval	CodeCode Available	5
Document Informed Neural Autoregressive Topic Models	Aug 11, 2018	Language ModelingLanguage 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
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise	Jul 31, 2018	Collaborative FilteringRecommendation Systems	CodeCode Available	5
Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions	Feb 27, 2018	ClusteringOutlier Detection	CodeCode Available	5
Document Informed Neural Autoregressive Topic Models with Distributional Prior	Sep 15, 2018	Language ModelingLanguage Modelling	CodeCode Available	5
Evaluating Negative Sampling Approaches for Neural Topic Models	Mar 23, 2025	Document ClassificationTopic Models	CodeCode Available	5
Coherence-Aware Neural Topic Modeling	Sep 7, 2018	Topic ModelsVariational Inference	CodeCode Available	5
Familia: An Open-Source Toolkit for Industrial Topic Modeling	Jul 31, 2017	Model SelectionTopic Models	CodeCode Available	5
Dirichlet belief networks for topic structure learning	Nov 2, 2018	Topic Models	CodeCode Available	5
ESTEEM: A Novel Framework for Qualitatively Evaluating and Visualizing Spatiotemporal Embeddings in Social Media	Jul 1, 2017	Named Entity Recognition (NER)Part-Of-Speech Tagging	CodeCode Available	5
Dirichlet Variational Autoencoder	Jan 9, 2019	DecoderGeneral Classification	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