[PDF][PDF] Predicting stock movements based on financial news with systematic group identification
Because stock price forecasting is an important issue both academically and practically,
research in stock price prediction has been actively conducted. The stock price forecasting …
research in stock price prediction has been actively conducted. The stock price forecasting …
시스템적인군집확인과뉴스를이용한주가예측
성노윤， 남기환 - 지능정보연구, 2019 - dbpia.co.kr
빅데이터 시대에 정보의 양이 급증하고, 그중 많은 부분을 차지하는 문자열 정보를 정량화하여
의미를 찾아낼 수 있는 인공지능 방법론이 함께 발전하면서, 텍스트 마이닝을 통해 주가 예측에 …
의미를 찾아낼 수 있는 인공지능 방법론이 함께 발전하면서, 텍스트 마이닝을 통해 주가 예측에 …
Prediction of stock prices using deep neural network models including an emotional predictor based on online news by industrial groups
JH Lim, YS Son - The Korean Journal of Applied Statistics, 2020 - koreascience.kr
We used a deep neural network model for the prediction of the stock prices of Kia Motors
and Shinsegae as listed in the KOSPI 100. We used an emotional variable derived from …
and Shinsegae as listed in the KOSPI 100. We used an emotional variable derived from …