论文标题
使用人工智能从微博中获得的社会状况意识：一项调查
Socially Enhanced Situation Awareness from Microblogs using Artificial Intelligence: A Survey
论文作者
论文摘要
从人类的角度来看，社交媒体平台的兴起为我们周围的世界和实时的世界提供了无限，无限丰富的总体知识来源。我们面临的最大挑战是如何处理和理解这些原始和非结构化的数据，超越个人观察，并看到“大局” - 情况意识的领域。我们提供了对人工智能研究的广泛调查，重点介绍了与情况意识相关的微博客社交媒体数据，这为六个主题领域的开创性工作和最新方法提供了：犯罪，灾难，金融，身体环境，政治以及健康和人口。我们提供了一种新颖的，统一的方法论观点，确定关键结果和挑战，并提出正在进行的研究方向。
The rise of social media platforms provides an unbounded, infinitely rich source of aggregate knowledge of the world around us, both historic and real-time, from a human perspective. The greatest challenge we face is how to process and understand this raw and unstructured data, go beyond individual observations and see the "big picture"--the domain of Situation Awareness. We provide an extensive survey of Artificial Intelligence research, focusing on microblog social media data with applications to Situation Awareness, that gives the seminal work and state-of-the-art approaches across six thematic areas: Crime, Disasters, Finance, Physical Environment, Politics, and Health and Population. We provide a novel, unified methodological perspective, identify key results and challenges, and present ongoing research directions.
