网络大数据中情绪指数的构建及应用分析——以证券市场为例  

Analysis of construction and application emotional index in network big data: taking the securities market as an example

作　　者：申晨[1] 姜志旺[1] 程冬玲[1] 张红霞 Shen Chen;Jiang Zhiwang;Cheng Dongling;Zhang Hongxia(Department of Information Management and Engineering, Hebei Finance University, Baoding 071000, China;Academic Affairs Office, Hebei Finance University, Baoding 071000, China)

机构地区：[1]河北金融学院信息管理与工程系,河北保定071000 [2]河北金融学院教务处,河北保定071000

出　　处：《无线互联科技》2019年第15期11-12,共2页Wireless Internet Technology

基　　金：保定市科技局科技支撑计划项目;项目编号：18ZG022,18ZG025,17ZG032;河北省高等教育教学改革研究与实践项目;项目编号：2018GJJG376

摘　　要：情绪指数是反映社会情绪的重要量化指标。基于搜索引擎、社交媒体和网络论坛3类数据,文章提出了一种基于主成分分析的网络大数据情绪指数构建方法,以证券市场为例,构建了证券市场网络大数据情绪指数。经过与新增投资者数量进行比对,所构建的指数与之呈现明显的正相关关系,且具有一定前瞻性。Emotional index is an important quantitative index to reflect social emotion. Based on three kinds of data: search engine, social media and online forum, this paper proposes a method of constructing big data emotion index based on principal component analysis of principal component analysis. Taking the securities market as an example, the big data emotion index of the securities market network is constructed. Compared with the number of new investors, the constructed index has an obvious positive correlation with it, and has a certain forward-looking.

关 键 词：情绪指数 大数据 主成分分析 证券市场 

分 类 号：F832.51[经济管理—金融学]