Who Cited It

Text Classification from Labeled and Unlabeled Documents using EM

2000 · Machine Learning · 2,753 citations · 15 from inside this corpus

Kamal Nigam, Andrew Kachites McCallum low, Sebastian Thrun, Tom M. Mitchell

No abstract in the source record.

Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…Combining labeled and unlabeled data with co-training (1998)Combining labeled and unlabel…A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…A comparison of event models for naive bayes text classification (1998)A comparison of event models …On the Optimality of the Simple Bayesian Classifier under Zero-One Loss (1997)On the Optimality of the Simp…Learning in Graphical Models (1998)Learning in Graphical ModelsThe SMART Retrieval System—Experiments in Automatic Document Processing (1971)The SMART Retrieval System—Ex…Naive (Bayes) at forty: The independence assumption in information retrieval (1998)Naive (Bayes) at forty: The i…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …A sequential algorithm for training text classifiers (1994)A sequential algorithm for tr…Elements of Information Theory (1992)Elements of Information TheoryLatent dirichlet allocation (2003)Latent dirichlet allocationA Survey on Transfer Learning (2009)A Survey on Transfer LearningMachine learning in automated text categorization (2002)Machine learning in automated…Semi-Supervised Learning (2006)Semi-Supervised LearningSemi-Supervised Learning Literature Survey (2005)Semi-Supervised Learning Lite…Sentiment Analysis and Opinion Mining (2017)Sentiment Analysis and Opinio…Sentiment Analysis and Opinion Mining (2012)Sentiment Analysis and Opinio…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…A survey on semi-supervised learning (2019)A survey on semi-supervised l…Editorial (2004)EditorialA brief introduction to weakly supervised learning (2017)A brief introduction to weakl…Introduction to Semi-Supervised Learning (2009)Introduction to Semi-Supervis…The text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Clustering with Bregman Divergences (2004)Clustering with Bregman Diver…A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data (2005)
27 of 27 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
Text categorization with Support Vector Machines: Learning with many relevant features19988,044
Combining labeled and unlabeled data with co-training19985,631
A Comparative Study on Feature Selection in Text Categorization19974,770
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms19983,759
A comparison of event models for naive bayes text classification19983,225
On the Optimality of the Simple Bayesian Classifier under Zero-One Loss19973,099
Learning in Graphical Models19982,437
The SMART Retrieval System—Experiments in Automatic Document Processing19712,276
Naive (Bayes) at forty: The independence assumption in information retrieval19982,114
An Evaluation of Statistical Approaches to Text Categorization19991,963
A sequential algorithm for training text classifiers19941,806
Elements of Information Theory19921,425

What cites it, inside the corpus

PaperYearCited
Latent dirichlet allocation200327,078
A Survey on Transfer Learning200923,670
Machine learning in automated text categorization20027,945
Semi-Supervised Learning20064,334
Semi-Supervised Learning Literature Survey20053,879
Sentiment Analysis and Opinion Mining20173,331
Sentiment Analysis and Opinion Mining20123,289
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
A survey on semi-supervised learning20192,636
Editorial20042,081
A brief introduction to weakly supervised learning20171,911
Introduction to Semi-Supervised Learning20091,812
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Clustering with Bregman Divergences20041,538
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data20051,370

Links

DOI · Open access copy · OpenAlex record

Topics

Text and Document Classification TechnologiesComputer Science
Machine Learning and AlgorithmsComputer Science
Machine Learning and Data ClassificationComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports58 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 2026-09-04T03:58:48+00:00.

sha256 46f669157f96ea35…