TY - GEN
T1 - Stock Price Prediction Through the Sentimental Analysis of News Articles
AU - Kim, Jaeyoon
AU - Seo, Jangwon
AU - Lee, Minhyeok
AU - Seok, Junhee
PY - 2019/7/1
Y1 - 2019/7/1
N2 - 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.
AB - 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.
KW - Positive index value
KW - Sentimental analysis
KW - Sentimental dictionary
KW - Stock price analysis
KW - Stock return value
UR - http://www.scopus.com/inward/record.url?scp=85071881489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85071881489&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2019.8806182
DO - 10.1109/ICUFN.2019.8806182
M3 - Conference contribution
AN - SCOPUS:85071881489
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 700
EP - 702
BT - ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
Y2 - 2 July 2019 through 5 July 2019
ER -