Network public opinion Space sentiment tendency analyze based on recurrent convolution neural network

被引：0
|
作者：
Zhang, Gaowei [1 ]
Xu, Lingyu [1 ]
Wang, Lei [2 ]
机构：
[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai, Peoples R China
[2] SOA China, East Sea Informat Ctr, Shanghai, Peoples R China
来源：
ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS II | 2018年 / 1955卷
关键词：
Recurrent convolution neural network; Network public opinion Space; emotion classification algorithm;
D O I：
10.1063/1.5033778
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
The purpose of this chapter is to analyze the investor's psychological characteristics and investment decision making behavior characteristics, to study the investor sentiment under the network public opinion, and then analyze from three aspects: First, investor sentiment analysis and how to spread in the online media; The influence mechanism of investor's emotion on the stock market and its effect; the third one is to measure the investor's emotion based on the degree of attention, trying hard to sort out the internal relations between the investor's sentiment and the network public opinion and the stock market, in order to lay the theoretical foundation of this article.
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页数：6
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