Stock Price Prediction Through the Sentimental Analysis of News Articles

被引：0
|
作者：
Kim, Jaeyoon [1 ]
Seo, Jangwon [1 ]
Lee, Minhyeok [1 ]
Seok, Junhee [1 ]
机构：
[1] Korea Univ, Sch Elect Engn, Seoul, South Korea
来源：
2019 ELEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS (ICUFN 2019) | 2019年
关键词：
Stock price analysis; Sentimental analysis; Sentimental dictionary; Positive index value; Stock return value;
D O I：
10.1109/icufn.2019.8806182
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
As people's interest in forecasting stock prices has been recently increased, research on stock price analysis through big data and artificial intelligence has been actively conducted. In this paper, we performed sentimental analysis by building and analyzing a sentimental dictionary with news articles. Through the sentimental dictionary, we can obtain the positive index of news articles for each date. By analyzing the correlation value between the positive index value and the stock return value, we can confirm the utility and possibility of the sentimental analysis in stock market.
引用
收藏
页码：700 / 702
页数：3
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