基于大数据技术的网络舆情情感强度研究  

Network Public Opinion Research on Emotional Intensity Based on the Technology of Big Data

作　　者：孙玲芳 尹培培[2] 

机构地区：[1]泰州学院计算机科学与技术学院,泰州225300 [2]江苏科技大学计算机科学与工程学院,镇江212003

出　　处：《计算机与数字工程》2018年第1期160-166,181,共8页Computer & Digital Engineering

基　　金：泰州市科技支撑项目(编号:TS201515);江苏省"六大人才高峰"项目(编号:2012XXRJ 013);教育部人文社科基金项目(编号:10YJAZH069)资助

摘　　要：针对传统技术处理海量数据的不足,以及大数据和网络舆情的相似特征性,通过对核心技术MapReduce模型的改进对网络舆情文本进行挖掘;然后基于MapReduce的矩阵—向量乘法模型得到热点舆情事件;在此基础上从客观和主观两个方面构建舆情指标模型。通过文本挖掘热点舆情事件来分析网络舆情情感强度,实验结果表明,该模型具有一定的借鉴作用。Aiming at the shortcomings of the traditional technology to deal with huge amounts of data,as well as the similarcharacteristic between data and the network public opinion,through the improvement of the core technology Map Reduce model,thetext of network public opinion is mined. Then public opinion of hot events is gotten based on the Map Reduce's matrix-vector multi-plication model. On this basis,from objective and subjective aspects to build index of public opinion model. Emotional intensity ofnetwork public opinion is analyzed through text mining public opinion of hot events. The experimental results show that the modelhas a certain reference.

关 键 词：大数据 MAPREDUCE 网络舆情情感强度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]