摘要
基于期货行业舆情分析场景复杂化及数据多样化的特征,围绕舆情分析能力建设和系统建设两大基础维度,介绍期货行业开展智能舆情分析应用的技术思路,并结合前期在"网络黑嘴"识别方面的初步实践,进一步分析相关方案的实验效果。
According to the complexity of Scene-based application and the diversity of Sentiment data,this paper introduces a technical solution of public opinion intelligent analysis application in futures industry,which focuses on the Capacity-building of public sentiment analysis and system construction.Besides,it analyses the experimental effect of the proposed solution combining the preliminary practice of"network black mouth"recognition.
出处
《信息技术与标准化》
2020年第5期22-26,46,共6页
Information Technology & Standardization
关键词
证券期货业
智能舆情分析
舆情量化
securities and futures industry
public opinion intelligent analysis
public opinion quantification