网络敏感信息自适应多重过滤模型研究

敏感信息过滤是既重要又复杂的任务.针对当前一些敏感信息过滤模型所存在的时间滞后、准确性低、自适应性差等问题,提出了一个敏感信息自适应多重过滤模型.该模型以互联网中文文本媒体为研究对象,采用意见挖据、机器学习、高性能计算和自然语言处理等技术,从整体和语义角度自适应识别敏感信息.对敏感信息自适应多重过滤模型的研究将为舆情监控、商业智能、辅助决策等应用系统开发提供技术支持.

Reserch on Model of Multi Filtering for Adaption about Network Sensitive Information

Filtering of network sensitive information is an important and complicated task.Aiming at the problems of detection time lag,low accuracy and poor adaptability,we proposed an adaptive multi filtering model of network sensitive information which is based on the research object of Chinese text media from the internet and uses the technologies of opinion mining,machine learning,high performance computing and natural language processing to recognize the sensitive information adaptively from the point of whole and semantic.The research on adaptive multi filtering model of network sensitive information will give some technical supports for the public opinion monitoring,intelligent business and developing systems of aid making decision application.