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 451–460 of 881 papers

Title	Date	Tasks	Status
Deep Temporal-Recurrent-Replicated-Softmax for Topical Trends over Time	Nov 15, 2017	ArticlesDynamic Topic Modeling	—Unverified
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks	Nov 11, 2017	Topic ModelsWord Similarity	—Unverified
Taking into account Inter-sentence Similarity for Update Summarization	Nov 1, 2017	Document SummarizationExtractive Summarization	—Unverified
Information Bottleneck Inspired Method For Chat Text Segmentation	Nov 1, 2017	Representation LearningText Generation	—Unverified
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions	Oct 30, 2017	Topic Models	—Unverified
SpectralLeader: Online Spectral Learning for Single Topic Models	Sep 21, 2017	Topic Models	—Unverified
MetaLDA: a Topic Model that Efficiently Incorporates Meta information	Sep 19, 2017	Topic ModelsWord Embeddings	CodeCode Available
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization	Sep 13, 2017	Bayesian InferenceTopic Models	—Unverified
Learning to Rank Semantic Coherence for Topic Segmentation	Sep 1, 2017	Common Sense ReasoningDiscourse Parsing	—Unverified
Detecting Perspectives in Political Debates	Sep 1, 2017	Topic Models	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