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Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network

International Journal of Intelligent Computing and Cybernetics (2022) 15 (2): 260–276.

https://doi.org/10.1108/IJICC-07-2021-0148

Published: 04 November 2021

...-RBF) is proposed. Empirical research is conducted with Baidu indexes such as “COVID-19”, “Winter Olympic Games”, “The 100th Anniversary of the Founding of the Party” and “Aerospace” as samples of network public opinion. Findings The experimental results show that the model proposed in this paper...

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A systematic survey on deep learning and machine learning approaches of fake news detection in the pre- and post-COVID-19 pandemic

Rajshree Varma, Yugandhara Verma, Priya Vijayvargiya, Prathamesh P. Churi

International Journal of Intelligent Computing and Cybernetics (2021) 14 (4): 617–646.

https://doi.org/10.1108/IJICC-04-2021-0069

Published: 16 August 2021

..., freelance reporters and websites. Amid the coronavirus disease 2019 (COVID-19) pandemic, individuals are inflicted with these false and potentially harmful claims and stories, which may harm the vaccination process. Psychological studies reveal that the human ability to detect deception is only slightly...

View article titled, A systematic survey on deep learning and machine learning approaches of fake news detection in the pre- and post-COVID-19 pandemic

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Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network

A systematic survey on deep learning and machine learning approaches of fake news detection in the pre- and post-COVID-19 pandemic

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Prediction of network public opinion based on bald eagle algorithm optimized radial basis function neural network

A systematic survey on deep learning and machine learning approaches of fake news detection in the pre- and post-COVID-19 pandemic

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