基于支持向量机的网络热点话题预测

摘要

Hot topic is a the important way for people to express their opinions and methods in the network.According to the characteristics of the hot topic of the network,in order to solve the current problems that hot topic of the network prediction models are low prediction accuracy,the prediction results are unstable,this paper designs a network hot topic prediction model based on support vector machine.First,the hot topic of the network data are collect and preprocessed,and then support vector machine is used to establish a network hot topic prediction model,finally using VC++ 6.0 to achieve the hot topic of the network simulation.The model improves the prediction effect of the hot topic of the network,and can meet the demand of network hot topic online,and also has certain practical application value.%热点话题是一种人们在网络上表达自己意见和看法方法的重要方式,针对网络热点话题的变化特点,为了解决当前网络热点话题预测模型存在预测精度低、预测结果不稳定的难题,设计了一种基于支持向量机的网络热点话题预测模型.收集网络热点话题数据,并对数据进行预处理,采用支持向量机建立网络热点话题预测模型,采用VC++ 6.0实现网络热点话题的仿真实验,改善了网络热点话题的预测效果,而且可以满足网络热点话题在线需求,具有一定的实际应用价值.