基于网络大数据的社会经济预测综述

摘要

According to the data content,this paper summerizes and organizes some reports and academic researches about using internet big data for socio-economic forecasting. It finds that search engine user data are used to predict trends of economic activities or markets, mainly based on search keyword meaning and search frequency; and sentiment studies get public opinion and emotion information from on-line social media platforms,which is then applied in studying investment behaviors and financial markets. This paper also points out some problems in the current research and presents some perspectives for future studies.%整理采用网络大数据进行社会经济预测的分析报告和学术研究，并根据数据信息类型梳理研究主要脉络。其中，网络用户搜索数据研究根据搜索关键词义和搜索频率变化预测经济活动或市场发展趋势；舆情研究从网络信息交流平台提取公众观点倾向和情绪波动信息，研究投资行为以及研判金融市场形势。还总结现有研究存在的问题以及展望未来研究发展方向。