Survey on supervised machine learning techniques for automatic text classification
Survey on supervised machine learning techniques for automatic text classification
About this item
Full title
Author / Creator
Publisher
Dordrecht: Springer Netherlands
Journal title
Language
English
Formats
Publication information
Publisher
Dordrecht: Springer Netherlands
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Scope and Contents
Contents
Supervised machine learning studies are gaining more significant recently because of the availability of the increasing number of the electronic documents from different resources. Text classification can be defined that the task was automatically categorized a group documents into one or more predefined classes according to their subjects. Thereby...
Alternative Titles
Full title
Survey on supervised machine learning techniques for automatic text classification
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2168624623
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2168624623
Other Identifiers
ISSN
0269-2821
E-ISSN
1573-7462
DOI
10.1007/s10462-018-09677-1
