SMAD: Text Classification of Arabic Social Media Dataset for News Sources
SMAD: Text Classification of Arabic Social Media Dataset for News Sources
About this item
Full title
Author / Creator
Publisher
West Yorkshire: Science and Information (SAI) Organization Limited
Journal title
Language
English
Formats
Publication information
Publisher
West Yorkshire: Science and Information (SAI) Organization Limited
Subjects
More information
Scope and Contents
Contents
Due to the advances in technology, social media has become the most popular means for the propagation of news. Many news items are published on social media like Facebook, Twitter, Instagram, etc. but are not categorized into various different domains, such as politics, education, finance, art, sports, and health. Thus, text classification is neede...
Alternative Titles
Full title
SMAD: Text Classification of Arabic Social Media Dataset for News Sources
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2655113326
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2655113326
Other Identifiers
ISSN
2158-107X
E-ISSN
2156-5570
DOI
10.14569/IJACSA.2021.0121058
