基于大数据的检察院新媒体平台稿件优化方法

Research on Content Creation Optimization of New Media Platform of Procuratorate Based on Big Data

本文提出一种基于大数据与语义分析技术的稿件优化系统实现方法,该方法依据各级检察院以往文章的传播数据,对原创稿件和网络采集稿件进行评级和传播效果预测,筛选出符合检察机关官方新媒体账号属性的优秀稿件。以信息技术手段辅助创作,为提升检察院新媒体平台的内容质量和传播效果提供了技术支撑。统计数据表明,该方法可有效的提升检察机关新媒体平台的舆论影响力和宣传力度。

By big data and Chinese semantic analysis, according to the dissemination of previous articles of the procuratorate at all levels, the content and original manuscripts collected on the network are predicted and dissemi-nated, and the characteristics of the official new media account of the procuratorate are selected. Excellent manu-scripts were published, and information technology was used to assist in the creation. Data support was provided to improve the quality of content and communication effects, and the public opinion of the new media of the procura-torate was enhanced and the publicity was enhanced