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Titlebook: Combating Fake News with Computational Intelligence Techniques; Mohamed Lahby,Al-Sakib Khan Pathan,Wael Mohamed Sh Book 2022 The Editor(s)

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發(fā)表于 2025-3-25 04:52:18 | 只看該作者
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發(fā)表于 2025-3-25 18:32:23 | 只看該作者
Numerical Computation of Singularity Sets,, the chapter elaborates on developing a system using Machine Learning and Natural Language processing that uses RNN and its techniques like LSTM and Bi-LSTM for the detection of misleading information. The implementation is done for general fake news and purely Covid-19 fake news.
25#
發(fā)表于 2025-3-25 21:18:21 | 只看該作者
Introduction to Sato’s microlocal analysisnd draws safe generic conclusions with respect to the dimensionality that each algorithm should have, the kind of training that should be performed beforehand for each one of them, and finally the method for generating vector representations of textual information.
26#
發(fā)表于 2025-3-26 03:57:53 | 只看該作者
Gert-Martin Greuel,Günther Trautmannthe intention to use Fintech services in Vietnam. In addition, four factors including: usefulness (SHI), ease of use (DSD), social influence (XH), and communication about Fintech services also have a positive impact on intention to use. Fintech services.
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28#
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29#
發(fā)表于 2025-3-26 15:57:30 | 只看該作者
Fake News Detection Using Machine Learning and Natural Language Processing, the chapter elaborates on developing a system using Machine Learning and Natural Language processing that uses RNN and its techniques like LSTM and Bi-LSTM for the detection of misleading information. The implementation is done for general fake news and purely Covid-19 fake news.
30#
發(fā)表于 2025-3-26 18:31:57 | 只看該作者
Evaluation of Machine Learning Methods for Fake News Detectionnd draws safe generic conclusions with respect to the dimensionality that each algorithm should have, the kind of training that should be performed beforehand for each one of them, and finally the method for generating vector representations of textual information.
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