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

1998 Lecture notes in computer science 7,890 citations

Keywords

Support vector machineComputer scienceMachine learningArtificial intelligenceCategorizationText categorizationTask (project management)Variety (cybernetics)Empirical researchRelevance vector machineMathematics

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Year
1998
Type
book-chapter
Pages
137-142
Citations
7890
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Closed

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Thorsten Joachims (1998). Text categorization with Support Vector Machines: Learning with many relevant features. Lecture notes in computer science , 137-142. https://doi.org/10.1007/bfb0026683

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DOI
10.1007/bfb0026683