检索结果-内蒙古大学图书馆

A Survey of fake data or Misinformation detection Techniques using Big data and sentiment analysis

SN Computer Science 2024年第7期5卷 955页

作者： kansara, Parth Adhvaryu, Kinjal U. Department of Computer Engineering Gujarat Technological University Ahmedabad India Department of Computer Engineering SAL Institute of Technology Gujarat Technological University Ahmedabad India

Nowadays, online networking is used generally as the spring of data on account of its ease and simplicity nature. This has turned out to be an open stage for discussion, knowledge dissemination, ideology expression, emotions, as well as sentiment sharing. Since FN affects people and society considerably, it is a major issue;actually, it is a double-edged sword. In internet-based life, the data spread quickly, thus, that news should be predicted quickly by the discovery constituent to halt the FN dispersal. Consequently, it is critical to identify FN via web-centered networking. Incidentally, this paper renders an inclusive systematic literature review and endeavors to discuss technical aspects of fake data detection utilizing Big data (BD) and sentiment analysis (SA). Additionally, this paper also emphasized the technical aspects of identifying fake data in the means of challenges prevalent in the development of its method and also the non-technical challenges mostly centered on its application. Future research can be directed toward solving these challenges. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024.

关键词： Big data Classification of fake news Deep learning fake data detection using sentiment analysis Feature extraction techniques Machine learning

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：