辽宁石油化工大学学报2017，Vol.37Issue(6)：47-50,4.DOI:10.3969/j.issn.1672-6952.2017.06.010
多特征神经网络微博转发预测
Micro-Blog Retweet Prediction Based on Multi-Feature Neural Network
摘要
Abstract
With the rapid development of social networks,microblog has become a platform for the spread of information dissemination.In view of the characteristics of microblog information diffusion, mining the potential law of microblog forwarding process is of great significance for public opinion monitoring,hot topic tracking,product marketing and so on.In this paper,the Sina microblog is used as the data source,the user and microblog content are used as the characteristic source. The neural network prediction algorithm in machine learning is introduced to establish the prediction model to realize the forward prediction of microblog.The results show that,compard with the traditional prediction method,the microblog forwarding can make a higher accuracy prediction.关键词
神经网络/BP算法/LDA/预测建模Key words
Neural network/BP algorithm/LDA/Predictive modeling分类
信息技术与安全科学引用本文复制引用
王志峰,冯锡炜,贾强,朱睿,秦航..多特征神经网络微博转发预测[J].辽宁石油化工大学学报,2017,37(6):47-50,4.基金项目
辽宁省教育科学"十三五"规划2016年度课题(JG16DB253) （JG16DB253）
辽宁石油化工大学2016年教育教学改革研究项目(20165230060003). （20165230060003）
