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 271–280 of 881 papers

Title	Date	Tasks	Status
Automatic Labelling of Topic Models Learned from Twitter by Summarisation	Jun 1, 2014	Sentiment AnalysisTopic Models	—Unverified
A new LDA formulation with covariates	Feb 18, 2022	Articlesregression	—Unverified
Documents as multiple overlapping windows into grids of counts	Dec 1, 2013	Document ClassificationRetrieval	—Unverified
Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition	Aug 1, 2013	Semantic CompositionTopic Models	—Unverified
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries	Jul 11, 2017	Information RetrievalRetrieval	—Unverified
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion	Sep 1, 2015	Document Level Machine TranslationMachine Translation	—Unverified
Automatic Labeling of Topic Models Using Text Summaries	Aug 1, 2016	Information RetrievalTopic Models	—Unverified
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models	Oct 22, 2015	Binary ClassificationTopic Models	—Unverified
Adapting Topic Models using Lexical Associations with Tree Priors	Sep 1, 2017	Machine TranslationTopic Models	—Unverified
A Bayesian Topic Model for Human-Evaluated Interpretability	Jun 1, 2022	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