计算机科学 ›› 2016, Vol. 43 ›› Issue (10): 1-8.doi: 10.11896/j.issn.1002-137X.2016.10.001
• 目次 • 下一篇
操晓春,荆丽桦,王蕊,张锐,董振江,熊红凯
CAO Xiao-chun, JING Li-hua, WANG Rui, ZHANG Rui, DONG Zhen-jiang and XIONG Hong-kai
摘要： 社交网络极大地方便了人们的生活,加速了信息的共享,但同时也被用于不良和敏感信息的传播,内容安全问题亟待解决。针对此类问题,提出了一套基于社会计算和深度学习的社交网络特定内容监控体系,首先基于成对监督信息实现以内容为导向的半监督社区发现,找到所关心的特定人群；然后对所挖掘的特定人群进行实时监控并获取其发布的内容,对图像和视频进行实时自动内容识别；同时针对实网数据误报多的问题提出面向多负类的误判修正方法,以达到收集实时信息,净化网络环境,在一定程度上预防犯罪的目的。
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