计算机应用与软件Issue(9)：187-190,4.DOI:10.3969/j.issn.1000-386x.2014.09.046
支持向量机修正ARIMA误差的微博热点预测
MICROBLOGGING HOT TOPIC PREDICTION BASED ON CORRECTING ARIMA ERROR BY SUPPORT VECTOR MACHINE
蒋玉婷1
作者信息
- 1. 江苏海事职业技术学院信息工程系 江苏 南京211170
- 折叠
摘要
Abstract
Microblogginghottopicpredictionisthecomplexpredictionproblemwithpoorinformation,smallsampleanduncertainty.In order to improve the precision of microblogging hot topic prediction,we propose a microblogging hot topic prediction model which is based on correcting residual error of ARIMA by support vector machine (ARIMA-SVM).First,we pre-process the microblogging data and extract themes to construct the time series of microblogging hot topics;then we use ARIMA to build the prediction model of microblogging hot topics, and use support vector machine to correct the prediction errors of ARIMA to get the final prediction result of microblogging hot topics;at last we test the model performance by simulation.Simulation results show that the ARIMA-SVM improves the precision of microblogging hot topic prediction compared with traditional prediction model,and the prediction results has certain practical value.关键词
网络微博热点/差分自回归移动平均模型/支持向量机/预测Key words
Microblogginghottopic/Autoregressiveintegratedmovingaverage(ARIMA)/Supportvectormachine/Prediction分类
信息技术与安全科学引用本文复制引用
蒋玉婷..支持向量机修正ARIMA误差的微博热点预测[J].计算机应用与软件,2014,(9):187-190,4.
