Social Signal Processing for Real-Time Situational Understanding: A Vision and Approach

Kasthuri Jayarajah, Shuochao Yao, Raghava Mutharaju, Archan Misra, Geeth de Mel, Julie Skipper, T. Abdelzaher, Michael A. Kolodny
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引用次数: 7

Abstract

The US Army Research Laboratory (ARL) and the Air Force Research Laboratory (AFRL) have established a collaborative research enterprise referred to as the Situational Understanding Research Institute (SURI). The goal is to develop an information processing framework to help the military obtain real-time situational awareness of physical events by harnessing the combined power of multiple sensing sources to obtain insights about events and their evolution. It is envisioned that one could use such information to predict behaviors of groups, be they local transient groups (e.g., Protests) or widespread, networked groups, and thus enable proactive prevention of nefarious activities. This paper presents a vision of how social media sources can be exploited in the above context to obtain insights about events, groups, and their evolution.
实时情景理解的社会信号处理:一个愿景和方法
美国陆军研究实验室(ARL)和空军研究实验室(AFRL)已经建立了一个称为态势理解研究所(SURI)的合作研究企业。目标是开发一个信息处理框架,通过利用多个传感源的综合能力来获得有关事件及其演变的见解,帮助军方获得对物理事件的实时态势感知。可以设想,人们可以使用这些信息来预测群体的行为,无论是当地的临时群体(例如,抗议)还是广泛的网络群体,从而能够主动预防邪恶活动。本文展示了如何在上述背景下利用社交媒体资源来获得有关事件、群体及其演变的见解。
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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