基于文本挖掘的网络信息搜索目标预测系统

Network information search target prediction system based on text mining

目前设计的网络信息搜索目标预测系统存在预测准确率低、预测时间长的问题,基于文本挖掘设计了一种新的网络信息搜索目标预测系统。系统硬件主要设计了采集器、处理器、存储器和传输器,采集器芯片选用三星公司生产的高速、低功耗的A/D转换芯片SD8276,处理器使用GS446架构,存储器芯片选择TU公司生产的TDYEBI663芯片,传输器由传统的4路单线接收机调整为6路双线接收机,以提升传输器的传输性能。利用文本挖掘中的文本摘要、结构分析和数据演变对网络用户搜索的信息内容进行系统分类,抽取网络信息中的不协调信息,对目标定位进行检索,辅助预测系统分析文本信息中的关键信息,从而实现网络信息搜索目标预测。实验结果表明,基于文本挖掘的网络信息搜索目标预测系统能够有效提高预测准确率,缩短预测时间。

The currently designed network information search target prediction system has a problem of low predictive accuracy and long prediction time,and a new network information search target prediction system is designed based on text excavation. The system hardware mainly designs collector,processor,memory and transmitter. The collector chip uses the high-speed,low-power A/D conversion chip SD8276 produced by Samsung. The processor uses GS446 architecture,and the memory chip selection TU has produced. TDYEBI663 chips,the transmitter is adjusted to a 6-way two-wire receiver to enhance the transmission performance of the transmitter. The text summary,structural analysis,and data evolution in text excavation uses the information content of network users to search for system classification,extracting uncoordinated information in network information,retrieving the target positioning,assisting the key information in the prediction system analysis text information,thus,network information search target prediction. The experimental results show that the network information search target prediction system based on text excavation can effectively improve the prediction accuracy and shorten the prediction time.