媒体内容价值多维度评估方法

Multi-Dimensional Evaluation Method of Media Content Value

本文提出一种媒体内容价值的多维度评估方法,综合考虑影响媒体内容价值的诸多因素,采用数据描述、数据分析、趋势预测的技术路线,基于线性回归分析、舆情分析、机器学习等技术手段构建评估模型,实现当前及未来一段时期媒体内容价值的动态评估,为高品质内容创作形成更强的预测力、决策力。

This paper proposes a multi-dimensional evaluation method of media content value,which comprehensively considers many factors affecting the value of media content,adopts technical route of data description,data analysis and trend prediction,and constructs a evaluation model based on technical means such as linear regression analysis,public opinion analysis and machine learning.The model can implement dynamic evaluation of media content value at present and in the future,which provides stronger predictive power and decision-making power for high-quality content creation.