大社交媒体数据分析的应用:综述

M. Al-garadi, G. Mujtaba, Muhammad Sadiq Khan, Nweke Henry Friday, A. Waqas, G. Murtaza
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引用次数: 3

摘要

在过去几年中,在线通信已经转向用户驱动技术,例如在线社交网络(OSNs)、博客、在线虚拟社区和在线共享平台。这些社交技术在用户生成数据、在线全球社区和丰富的人类行为相关内容方面引发了一场革命。人类生成的数据和人类的移动模式已经成为许多领域开发智能应用的重要步骤。理解人类的偏好对于智能应用程序和服务的开发非常重要,从而使这些应用程序能够理解人类的思想和情感,然后基于从社交媒体数据中学习而做出明智的行动。本文讨论了社交媒体数据在理解在线人类数据方面的作用,以及因此执行的智能服务的SM数据的不同实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of big social media data analysis: An overview
Over the last few years, online communication has moved toward user-driven technologies, such as online social networks (OSNs), blogs, online virtual communities, and online sharing platforms. These social technologies have ushered in a revolution in user-generated data, online global communities, and rich human behavior-related content. Human-generated data and human mobility patterns have become important steps toward developing smart applications in many areas. Understanding human preferences is important to the development of smart applications and services to enable such applications to understand the thoughts and emotions of humans, and then act smartly based on learning from social media data. This paper discusses the role of social media data in comprehending online human data and in consequently different real applications of SM data for smart services are executed.
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