Assessing the Influence Level of Food Safety Public Opinion with Unbalanced Samples Using Ensemble Machine Learning

Assessing the public opinion on food safety events constitutes an important job of government regulators. To optimize the government’s management of food safety affairs, a promising way is to use artificial intelligence to improve the efficiency of food safety public opinion assessment. In this pape...

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Veröffentlicht in:	Scientific programming 2022-02, Vol.2022, p.1-11
Hauptverfasser:	Song, Bo, Shang, Kefan, He, Junliang, Yan, Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Classification Deep learning Food safety Machine learning Neural networks Public opinion Safety management Support vector machines Text categorization User behavior
Online-Zugang:	Volltext
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