山东大数据网络舆情发展方向分析与建模

Analysis and Modeling of the Development Direction of Shandong Big Data Network Public Opinion

通过对山东大数据网络舆情发展方向分析,进行舆情监督和管理,提出基于统计特征信息融合的山东大数据网络舆情发展方向建模方法。构建山东舆情发展方向分布大数据的统计序列模型,采用大数据空间区域结构重组方法进行预测,提取描述性统计特征量,结合量化回归分析方法,对提取的山东舆情发展方向分布大数据的关联特征集进行分类融合,构建基于模糊C均值聚类山东大数据网络舆情信息融合模型,采用分段检验方法进行数据聚类中心寻优控制,实现山东舆情发展方向预测与建模。实证分析结果表明,该模型能有效预测山东大数据网络舆情发展方向,大数据融合性能较好。

By analyzing the development direction of shandong big data network public opinion,supervision and management of public opinion are conducted,and a modeling method based on statistical feature information fusion for the development direction of shandong big data network public opinion is proposed.Build the shandong public opinion direction distribution statistics sequence model of big data,using big data space regional restructuring method to predict,extract the descriptive statistical characteristics,combined with quantitative regression analysis method,to extract the shandong public opinion direction distribution correlation characteristics of the large data set classification fusion,build based on the fuzzy c-means clustering large data network public opinion information fusion model in shandong,by subsection testing method for data clustering center optimization control,realizes the shandong public opinion direction prediction and modeling.The empirical analysis results show that this model can effectively predict the development direction of big data network public opinion in shandong province,and the big data fusion performance is good.