Who Cited It

Text categorization with Support Vector Machines: Learning with many relevant features

1998 · Lecture notes in computer science · 8,044 citations · 20 from inside this corpus

Thorsten Joachims

No abstract in the source record.

Text categorization with Support Vector Machines: Learning with many relevant features (1998)Text categorization with Supp…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…Support-Vector Networks (1995)Support-Vector NetworksC4.5: Programs for Machine Learning (1992)C4.5: Programs for Machine Le…Term-weighting approaches in automatic text retrieval (1988)Term-weighting approaches in …A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…An Evaluation of Statistical Approaches to Text Categorization (1999)An Evaluation of Statistical …Machine learning in automated text categorization (2002)Machine learning in automated…Thumbs up? (2002)Thumbs up?Hierarchical Attention Networks for Document Classification (2016)Hierarchical Attention Networ…Semi-Supervised Learning (2006)Semi-Supervised LearningEarthquake shakes Twitter users (2010)Earthquake shakes Twitter use…An introduction to kernel-based learning algorithms (2001)An introduction to kernel-bas…Character-level Convolutional Networks for Text Classification (2015)Character-level Convolutional…A comparison of event models for naive bayes text classification (1998)A comparison of event models …Text Classification from Labeled and Unlabeled Documents using EM (2000)Text Classification from Labe…A re-examination of text categorization methods (1999)A re-examination of text cate…RCV1: A New Benchmark Collection for Text Categorization Research (2004)RCV1: A New Benchmark Collect…An extensive empirical study of feature selection metrics for text classification (2003)An extensive empirical study …Thumbs up? Sentiment Classification using Machine Learning Techniques (2002)Thumbs up? Sentiment Classifi…Using AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…Naive (Bayes) at forty: The independence assumption in information retrieval (1998)Naive (Bayes) at forty: The i…Training linear SVMs in linear time (2006)Training linear SVMs in linea…Word sense disambiguation (2009)Word sense disambiguationThe text mining handbook: advanced approaches in analyzing unstructured data (2007)The text mining handbook: adv…Support vector machines for spam categorization (1999)Support vector machines for s…Inductive learning algorithms and representations for text categorization (1998)
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What this paper cites, inside the corpus

PaperYearCited
The Nature of Statistical Learning Theory199539,409
Support-Vector Networks199533,914
C4.5: Programs for Machine Learning199223,704
Term-weighting approaches in automatic text retrieval19889,714
A Comparative Study on Feature Selection in Text Categorization19974,770
An Evaluation of Statistical Approaches to Text Categorization19991,963

What cites it, inside the corpus

PaperYearCited
Machine learning in automated text categorization20027,945
Thumbs up?20027,057
Hierarchical Attention Networks for Document Classification20164,871
Semi-Supervised Learning20064,334
Earthquake shakes Twitter users20103,676
An introduction to kernel-based learning algorithms20013,498
Character-level Convolutional Networks for Text Classification20153,280
A comparison of event models for naive bayes text classification19983,225
Text Classification from Labeled and Unlabeled Documents using EM20002,753
A re-examination of text categorization methods19992,664
RCV1: A New Benchmark Collection for Text Categorization Research20042,604
An extensive empirical study of feature selection metrics for text classification20032,390
Thumbs up? Sentiment Classification using Machine Learning Techniques20022,215
Using AUC and accuracy in evaluating learning algorithms20052,163
Naive (Bayes) at forty: The independence assumption in information retrieval19982,114
Training linear SVMs in linear time20061,961
Word sense disambiguation20091,832
The text mining handbook: advanced approaches in analyzing unstructured data20071,626
Support vector machines for spam categorization19991,480
Inductive learning algorithms and representations for text categorization19981,469

Links

DOI · OpenAlex record

Topics

Text and Document Classification TechnologiesComputer Science
Algorithms and Data CompressionComputer Science
Machine Learning and AlgorithmsComputer Science

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complete

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  • supports1 author record(s) attached.
  • supports14 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 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…