Who Cited It

Latent dirichlet allocation

2003 · Journal of Machine Learning Research · 27,078 citations · 31 from inside this corpus

David M. Blei, Andrew Y. Ng, Michael I. Jordan

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Latent dirichlet allocation (2003)Latent dirichlet allocationBayesian Data Analysis (1995)Bayesian Data AnalysisIndexing by latent semantic analysis (1990)Indexing by latent semantic a…An Introduction to Variational Methods for Graphical Models (1999)An Introduction to Variationa…Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Learning in Graphical Models (1998)Learning in Graphical ModelsData clustering: 50 years beyond K-means (2009)Data clustering: 50 years bey…Opinion Mining and Sentiment Analysis (2008)Opinion Mining and Sentiment …Probabilistic topic models (2012)Probabilistic topic modelsSemi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Software Framework for Topic Modelling with Large Corpora (2010)Software Framework for Topic …Hierarchical Dirichlet Processes (2006)Hierarchical Dirichlet Proces…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Learning Word Vectors for Sentiment Analysis (2011)Learning Word Vectors for Sen…Graphical Models, Exponential Families, and Variational Inference (2007)Graphical Models, Exponential…Recent Trends in Deep Learning Based Natural Language Processing [Review Article] (2018)Recent Trends in Deep Learnin…From Frequency to Meaning: Vector Space Models of Semantics (2010)From Frequency to Meaning: Ve…The political blogosphere and the 2004 U.S. election (2005)The political blogosphere and…Dynamic topic models (2006)Dynamic topic modelsExploring the Space of Topic Coherence Measures (2015)Exploring the Space of Topic …Variational Inference: A Review for Statisticians (2023)Variational Inference: A Revi…Learning deep structured semantic models for web search using clickthrough data (2013)Learning deep structured sema…Word Representations: A Simple and General Method for Semi-Supervised Learning (2010)Word Representations: A Simpl…Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey (2018)Latent Dirichlet allocation (…Reading Tea Leaves: How Humans Interpret Topic Models (2009)Reading Tea Leaves: How Human…Word sense disambiguation (2009)Word sense disambiguationDeep Patient: An Unsupervised Representation to Predict the Future of Patients from the E… (2016)Deep Patient: An Unsupervised…Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Personality, Gender, and Age …The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Hidden factors and hidden topics (2013)Hidden factors and hidden top…Domain adaptation with structural correspondence learning (2006)Domain adaptation with struct…Mixed Membership Stochastic Blockmodels. (2008)Mixed Membership Stochastic B…From Word Embeddings To Document Distances (2015)From Word Embeddings To Docum…Variational inference for Dirichlet process mixtures (2006)Stochastic variational inference (2013)Stochastic variational infere…A Survey on Hate Speech Detection using Natural Language Processing (2017)A Survey on Hate Speech Detec…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)
36 of 36 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Bayesian Data Analysis199513,754
Indexing by latent semantic analysis199012,850
An Introduction to Variational Methods for Graphical Models19993,793
Text Classification from Labeled and Unlabeled Documents using EM20002,753
Learning in Graphical Models19982,437

What cites it, inside the corpus

PaperYearCited
Data clustering: 50 years beyond K-means20099,368
Opinion Mining and Sentiment Analysis20086,837
Probabilistic topic models20125,623
Semi-Supervised Learning Literature Survey20053,879
Software Framework for Topic Modelling with Large Corpora20103,809
Hierarchical Dirichlet Processes20063,580
Sentiment Analysis and Opinion Mining20173,331
Learning Word Vectors for Sentiment Analysis20113,294
Graphical Models, Exponential Families, and Variational Inference20073,171
Recent Trends in Deep Learning Based Natural Language Processing [Review Article]20182,907
From Frequency to Meaning: Vector Space Models of Semantics20102,902
The political blogosphere and the 2004 U.S. election20052,660
Dynamic topic models20062,414
Exploring the Space of Topic Coherence Measures20152,240
Variational Inference: A Review for Statisticians20232,169
Learning deep structured semantic models for web search using clickthrough data20132,099
Word Representations: A Simple and General Method for Semi-Supervised Learning20101,941
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey20181,924
Reading Tea Leaves: How Humans Interpret Topic Models20091,882
Word sense disambiguation20091,832
Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the E…20161,785
Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach20131,753
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Hidden factors and hidden topics20131,610
Domain adaptation with structural correspondence learning20061,565
Mixed Membership Stochastic Blockmodels.20081,540
From Word Embeddings To Document Distances20151,520
Variational inference for Dirichlet process mixtures20061,489
Stochastic variational inference20131,480
A Survey on Hate Speech Detection using Natural Language Processing20171,419
Don't count, predict! A systematic comparison of context-counting vs. context-predicting …20141,388

Links

DOI · OpenAlex record

Topics

Natural Language Processing TechniquesComputer Science
Topic ModelingComputer Science
Bayesian Methods and Mixture ModelsComputer Science

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complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports28 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…