辽宁石油化工大学学报

辽宁石油化工大学学报 ›› 2017, Vol. 37 ›› Issue (6): 47-50.DOI: 10.3969/j.issn.1672-6952.2017.06.010

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多特征神经网络微博转发预测

王志峰1,冯锡炜1,贾 强1,朱 睿1,秦 航2   

  1. 1.辽宁石油化工大学计算机与通信工程学院,辽宁抚顺113001; 2.辽宁省抚顺市望花区教师进修学校,辽宁抚顺113001
  • 收稿日期:2017-03-13 修回日期:2017-04-11 出版日期:2017-12-20 发布日期:2018-02-27
  • 通讯作者: :冯易炜(1970-),男,博士,教授,从事语义网·分布式计算与计算机网络方面的研究;E-mail:feng.xw@163.com。
  • 作者简介::王志峰(1990-),男,硕士研究生,从事分布式计算、数据挖掘相关研究;E-mail:kruskr@sina.com。
  • 基金资助:
    :辽宁省教育科学“十三五”规划2016年度课题(JG16DB253);辽宁石油化工大学2016年教育教学改革研究项目 (20165230060003)。

Micro Blog Retweet Prediction Based on Multi Feature Neural Network

Wang Zhifeng1, Feng Xiwei 1, Jia Qiang 1, Zhu Rui1, Qin Hang2   

  1. 1.School of Computer and Communicating Engineering,Liaoning Shihua University,Fushun Liaoning 113001,China|  2.Teacher Continuing Education School of Wanghua District,Fushun Liaoning 113001, China
  • Received:2017-03-13 Revised:2017-04-11 Published:2017-12-20 Online:2018-02-27

摘要: 随着社交网络的快速发展,微博已成为一种信息扩散传播的平台。鉴于微博信息扩散的特点,挖掘微博转发过程中的潜在规律对于舆情监控、热点话题追踪、产品营销等有着重要意义。以新浪微博作为数据源,以用户和微博内容作为特征源,引入机器学习中的神经网络预测算法建立预测模型,实现对微博的转发预测。结果表明,与传统预测方法的对比,对微博转发可以做出较高准确率的预测。

关键词: 神经网络, BP算法, LDA, 预测建模

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.

Key words: Neural network, BP algorithm, LDA, Predictive modeling

引用本文

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.

Wang Zhifeng, Feng Xiwei, Jia Qiang, Zhu Rui, Qin Hang. Micro Blog Retweet Prediction Based on Multi Feature Neural Network[J]. Journal of Liaoning Petrochemical University, 2017, 37(6): 47-50.

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链接本文: http://journal.lnpu.edu.cn/CN/10.3969/j.issn.1672-6952.2017.06.010

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