针对传统信息化处理平台一直存在耗时高、平台响应滞后以及信息聚类精度低等问题.提出并设计了基于移动互联的信息化智能处理平台和平台的物理架构.该平台由资讯服务模块、信息推送模块和智慧信息热点发现模块三大功能模块构成,分析了各功能模块的操作流程,这些功能模块协同运作,实现信息的智能化处理.通过ICTCLAS分词系统对新闻文本进行分词处理,完成对关键词的采集,利用向量空间模型获取新闻文本的知识描述模型,对新闻标题词频进行采集,得到K个原始聚类中心,通过汇总新闻标题词频的改进K-Means算法,对新闻特征向量实施话题聚类,得到热点信息.实验结果说明,所设计的处理平台具有较高的运行效率和聚类精度,信息化处理性能强.%Since there are many problems existing in the traditional information processing platform,such as high time con-sumption,delay platform response and low-precision information clustering,the intelligent information processing platform based on mobile Internet and physical architecture of the platform are proposed and designed. The platform consists of information ser-vice module,information push module and intelligence hot information finding module. The operation process of each function module is analyzed. These function modules operate collaboratively to realize informatization intelligent processing. The participle processing of news texts is conducted by ICTCLAS participle system to complete the acquisition of news text keywords. The vec-tor space model is adopted to achieve the knowledge representation model of news texts,collect the word frequency of news ti-tles,and get K numbers of original clustering centers. The improved K-Means algorithm for summarizing the news headlines fre-quency is used to execute the topic clustering of news feature vector and get hot information. The experimental results show that the designed processing platform has high operation efficiency,high clustering accuracy and strong informatization processing performance.
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