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Document Classification: Information Science, Electronic Document, Naive Bayes Classifier, Tf- Idf, Latent Semantic Indexing, Support Vector Machine -

englanti
2026-03-19
138,79 € 213,53 €

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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! Document classification/categorization is a problem in information science. The task is to assign an electronic document to one or more categories, based on its contents. Document classification tasks can be divided into two sorts: supervised document classification where some external mechanism (such as human feedback) ... Täydellinen kuvaus

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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! Document classification/categorization is a problem in information science. The task is to assign an electronic document to one or more categories, based on its contents. Document classification tasks can be divided into two sorts: supervised document classification where some external mechanism (such as human feedback) provides information on the correct classification for documents, and unsupervised document classification, where the classification must be done entirely without reference to external information. There is also a semi-supervised document classification, where parts of the documents are labeled by the external mechanism.

Lisätietoja

Julkaisija OmniScriptum
Julkaisuvuosi 2026
Kannen tyyppi Pehmeäkantinen
EAN 9786131173318
Kirjoita oma arvostelusi
Arvostelet: Document Classification: Information Science, Electronic Document, Naive Bayes Classifier, Tf- Idf, Latent Semantic Indexing, Support Vector Machine
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138,79 € 213,53 €