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 626–650 of 881 papers

Title	Date	Tasks	Status	Hype
A Historical Analysis of the Field of OR/MS using Topic Models	Oct 17, 2015	ManagementSpecificity	—Unverified	0
A General Method for Robust Bayesian Modeling	Oct 17, 2015	regressionTopic Models	—Unverified	0
Pivot-Based Topic Models for Low-Resource Lexicon Extraction	Oct 1, 2015	Semantic Textual SimilarityTopic Models	—Unverified	0
Cross-lingual Pseudo Relevance Feedback Based on Weak Relevant Topic Alignment	Oct 1, 2015	Information RetrievalTopic Models	—Unverified	0
Surrounding Word Sense Model for Japanese All-words Word Sense Disambiguation	Oct 1, 2015	AllTopic Models	—Unverified	0
Exploration and Exploitation of Victorian Science in Darwin's Reading Notebooks	Sep 23, 2015	Decision MakingTopic Models	—Unverified	0
Do Distributed Semantic Models Dream of Electric Sheep? Visualizing Word Representations through Image Synthesis	Sep 1, 2015	Image GenerationTopic Models	—Unverified	0
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion	Sep 1, 2015	Document Level Machine TranslationMachine Translation	—Unverified	0
Topic Identification and Discovery on Text and Speech	Sep 1, 2015	Dimensionality ReductionSpeech Recognition	—Unverified	0
Efficient Methods for Incorporating Knowledge into Topic Models	Sep 1, 2015	Topic Models	—Unverified	0
Birds of a Feather Linked Together: A Discriminative Topic Model using Link-based Priors	Sep 1, 2015	Link PredictionTopic Models	—Unverified	0
EMNLP versus ACL: Analyzing NLP research over time	Sep 1, 2015	Topic Models	—Unverified	0
PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis	Sep 1, 2015	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Necessary and Sufficient Conditions and a Provably Efficient Algorithm for Separable Topic Discovery	Aug 23, 2015	Topic Models	—Unverified	0
Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections	Aug 19, 2015	Topic Models	CodeCode Available	0
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture	Aug 14, 2015	General Classificationparameter estimation	CodeCode Available	1
Topic Stability over Noisy Sources	Aug 5, 2015	Model SelectionOptical Character Recognition (OCR)	—Unverified	0
LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet Allocation	Jul 23, 2015	Topic Models	—Unverified	0
User Based Aggregation for Biterm Topic Model	Jul 1, 2015	modelProduct Recommendation	—Unverified	0
A Hierarchical Knowledge Representation for Expert Finding on Social Media	Jul 1, 2015	Topic ModelsWord Embeddings	—Unverified	0
Matrix and Tensor Factorization Methods for Natural Language Processing	Jul 1, 2015	Dependency ParsingKnowledge Base Population	—Unverified	0
Extended Topic Model for Word Dependency	Jul 1, 2015	modelTopic Models	—Unverified	0
Tea Party in the House: A Hierarchical Ideal Point Topic Model and Its Application to Republican Legislators in the 112th Congress	Jul 1, 2015	Topic Models	—Unverified	0
Efficient Methods for Inferring Large Sparse Topic Hierarchies	Jul 1, 2015	Topic Models	—Unverified	0
KB-LDA: Jointly Learning a Knowledge Base of Hierarchy, Relations, and Facts	Jul 1, 2015	Topic Models	—Unverified	0

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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