- 텍스트 마이닝을 사용해 주가 등하락 예측 모델 개발하였다.
- LG화학과 대한항공이 유가와 관련된 뉴스 데이터에 영향 확인하였다.
- 뉴스라는 비정형 데이터가 주가 변동에 영향을 미친다는 가정 증명
- 단어단위의 임베딩보다 문장 단위로 앞뒤 글의 맥락을 이용하는 임베딩이 효과적
- 단순 기업 뉴스와 기업과 밀접한 거시경제 지표의 뉴스를 함께 보는것이 더욱 효과적
텍스트 마이닝을 이용한 LG화학&대한항공 주가 등하락 예측 모델 :기업, 유가 뉴스 데이터를 이용
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