Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Applied Artificial Intelligence Pub Date : 2024-07-30 DOI:10.1080/08839514.2024.2385856

Abubaker A. Alguttar, Osama A. Shaaban, Remzi Yildirim

引用次数: 0

Abstract

The proliferation of misinformation across various domains necessitates robust detection mechanisms. With its ability to analyze vast datasets, machine learning emerges as a powerful tool. This res...

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优化假新闻分类：利用机器学习和深度学习方法中的集合学习和参数调整功能

错误信息在各个领域的扩散需要强大的检测机制。机器学习能够分析庞大的数据集，因此成为一种强大的工具。本研究将为您提供有关机器学习的更多信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Artificial Intelligence 工程技术-工程：电子与电气

CiteScore

5.20

自引率

3.60%

发文量

106

审稿时长

6 months

期刊介绍： Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.