Who Cited It

Inductive learning algorithms and representations for text categorization

1998 · 1,469 citations · 8 from inside this corpus

Susan Dumais, John Platt, David Heckerman, Mehran Sahami

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.

Inductive learning algorithms and representations for text categorization (1998)Inductive learning algorithms…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksA training algorithm for optimal margin classifiers (1992)A training algorithm for opti…Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…Learning Bayesian Networks: The Combination of Knowledge and Statistical Data (1995)Learning Bayesian Networks: T…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…The SMART Retrieval System—Experiments in Automatic Document Processing (1971)The SMART Retrieval System—Ex…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Machine learning in automated text categorization (2002)Machine learning in automated…Semi-Supervised Learning (2006)Semi-Supervised LearningML-KNN: A lazy learning approach to multi-label learning (2007)ML-KNN: A lazy learning appro…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex… (2006)Manifold Regularization: A Ge…An extensive empirical study of feature selection metrics for text classification (2003)An extensive empirical study …Training linear SVMs in linear time (2006)Training linear SVMs in linea…
17 of 17 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
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
A training algorithm for optimal margin classifiers199211,664
Text categorization with Support Vector Machines: Learning with many relevant features19988,044
A Comparative Study on Feature Selection in Text Categorization19974,770
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data19953,262
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
The SMART Retrieval System—Experiments in Automatic Document Processing19712,276
An Evaluation of Statistical Approaches to Text Categorization19991,963

What cites it, inside the corpus

PaperYearCited
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Machine learning in automated text categorization20027,945
Semi-Supervised Learning20064,334
ML-KNN: A lazy learning approach to multi-label learning20073,587
An introduction to kernel-based learning algorithms20013,498
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Ex…20063,266
An extensive empirical study of feature selection metrics for text classification20032,390
Training linear SVMs in linear time20061,961

Links

DOI · OpenAlex record

Topics

Text and Document Classification TechnologiesComputer Science
Machine Learning and AlgorithmsComputer Science
Advanced Text Analysis TechniquesComputer Science

Is this record sound?

complete

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

  • supports4 author record(s) attached.
  • supports32 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 2026-09-04T03:58:58+00:00.

sha256 88a60cdbb94c6a13…