Enhancing topic clustering for Arabic security news based on k‐means and topic modelling
Enhancing topic clustering for Arabic security news based on k‐means and topic modelling
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Publisher
John Wiley & Sons, Inc
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Language
English
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John Wiley & Sons, Inc
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Contents
The internet has become one of the main sources of news spread as it unleashed the information dissemination space, where the news websites express opinions on entities while also reporting on recent or unusual security risks. Recently, many research studies have focused on sentimental reflection on the views and impressions of people utilising nat...
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Full title
Enhancing topic clustering for Arabic security news based on k‐means and topic modelling
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TN_cdi_doaj_primary_oai_doaj_org_article_9c37dcf5ebbe4cbe9b0d6fd2970c44e4
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c37dcf5ebbe4cbe9b0d6fd2970c44e4
Other Identifiers
ISSN
2047-4954
E-ISSN
2047-4962
DOI
10.1049/ntw2.12017
