Fake news detection using an ensemble learning model based on Self-Adaptive Harmony Search algorithms

•The appropriate features of news are analyzed for training models.•The ensemble learning model for fake news detection is proposed in the paper.•The weights of the ensemble learning model are optimized in the paper.•The cross-domain intractability issue is investigated in the paper. In general, the...

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Vydané v:	Expert systems with applications Ročník 159; s. 113584
Hlavní autori:	Huang, Yin-Fu, Chen, Po-Hong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Elsevier Ltd 30.11.2020 Elsevier BV
Predmet:	Accuracy Adaptive algorithms Deep learning Domains Ensemble learning Fake news Harmony search algorithm Machine learning Natural language processing News Search algorithms Deep learning Natural language processing Fake news Harmony search algorithm
ISSN:	0957-4174, 1873-6793
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