Hybrid evolutionary intelligent network for sentiment analysis using Twitter data during COVID‐19 pandemic

COVID‐19 pandemic has impacted many nations, causing physical as well as mental health concerns globally. In most countries, governments enforced strict lockdowns and social distancing, thus affecting people's daily lives. People usually tweet their views on online platforms that is unstructure...

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Veröffentlicht in:	Expert systems 2024-03, Vol.41 (3), p.n/a
Hauptverfasser:	Kour, Harnain, Gupta, Manoj Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Back propagation BERT Classification COVID-19 COVID‐19 pandemic Data mining Datasets Disease control Evolution genetic algorithm Genetic algorithms Intelligent networks Machine learning Mathematical models Natural language processing Pandemics Parameters Semantics Sentiment analysis Support vector machines Twitter data Unstructured data
Online-Zugang:	Volltext
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