基于大数据的社交网络舆情生态性评价研究

Research on Ecological Evaluation of Social Network Public Opinion Based on Big Data

为解决传统生态性评价存在的置信度低问题,笔者提出基于大数据的社交网络舆情生态性评价方法。首先,在社交网络环境下,利用API接口采集社交网络舆情数据,并通过大数据处理技术,检测社交网络舆情情感倾向与话题;其次,结合社交网络舆情的检测结果,确定社交网络舆情生态环境的基本组成,并针对各个组成部分设置对应的生态性评价指标;最后,确定指标权重,从而得出社交网络舆情生态性的综合量化评价结果。实验结果表明:设计评价方法在置信度方面更具有优势。

In order to solve the problem of low confidence in traditional ecological evaluation,the author proposes a social network public opinion ecological evaluation method based on big data.First,in the social network environment,use the API interface to collect social network public opinion data,and use big data processing technology to detect the sentiment tendency and topic of social network public opinion;second,combine the detection results of social network public opinion to determine the ecological environment of social network public opinion Basic components,and set corresponding ecological evaluation indicators for each component;finally,determine the index weights,so as to obtain the comprehensive quantitative evaluation results of the social network public opinion ecology.The experimental results show that the design evaluation method has more advantages in terms of confidence.