Záznam dôkazov metódy

Text Classification

Text classification, also called text categorization, is a supervised natural-language-processing task that automatically assigns documents to predefined categories. Building on the support-vector-machine approach to text categorization established by Joachims (1998) and consolidated in the text-mining literature by Aggarwal and Zhai (2012), it powers tasks such as spam detection and topic classification by learning from labelled examples.

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Text Classification (Text Categorization)

Taxonomický záznam metódy · process-pipeline / text-mining

Joachims, T. (1998). Text Categorization with Support Vector Machines: Learning with Many Relevant Features. ECML 1998. Lecture Notes in Computer Science, vol 1398. Springer. · DOI 10.1007/BFb0026683
Aggarwal, C. C. & Zhai, C. (2012). Mining Text Data. Springer. · ISBN 978-1-4614-3222-7

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Same method familyDocument Clusteringmachine-suggested · Relational suggestion, not evidence.Same method familyKeyword Extractionmachine-suggested · Relational suggestion, not evidence.Same method familySentiment Analysismachine-suggested · Relational suggestion, not evidence.Same method familyTF-IDFmachine-suggested · Relational suggestion, not evidence.