摘要
【目的/意义】对多媒体网络舆情是否进入衰退期进行评估,为舆情监测机构节约资源。【方法/过程】通过文献调研法构建多媒体网络舆情衰退期指标体系,使用八爪鱼采集相关数据并利用BP神经网络对构建的指标体系进行评估。【结果/结论】本文构建的多媒体网络舆情衰退期评估指标体系具有一定的可行性和实用性,为后续相关研究提供一定理论基础和研究思路。
【Purpose/significance】To evaluate whether multimedia network public opinion has entered a period of recession and save resources for public opinion monitoring institutions.【Method/process】The index system of the decline period of public opinion in multimedia network was constructed by means of literature research, the data was collected by Octopus and the index system was evaluated by BP Neural Network.【Result/conclusion】The evaluation index system of multimedia network public opinion recession is feasible and practical, which provides some theoretical basis and research ideas for the follow-up related research.
作者
张雪梅
王友翠
ZHANG Xue-mei;WANG You-cui(School of Economics,Harbin Normal University,Harbin 150025,China;Library of Harbin Medical University,Harbin 150081,China)
出处
《情报科学》
CSSCI
北大核心
2020年第6期110-115,177,共7页
Information Science
基金
黑龙江省哲学社会科学研究规划项目“财务共享理论下我国企业信息传递机制与企业管理制度创新研究”(18GLD294)。
关键词
多媒体网络舆情
舆情衰退期
指标体系
BP神经网络
multimedia network public opinion
public opinion decline
indicator system
BP Neural Network
作者简介
张雪梅(1974-),女,黑龙江哈尔滨人,教授,博士,主要从事信息资源管理研究.
