메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

A Prediction of Stock Price Through the Big-data Analysis
Recommendations
Search

인터넷 뉴스 빅데이터를 활용한 기업 주가지수 예측

논문 기본 정보

Type
Academic journal
Author
Journal
한국산업경영시스템학회 산업경영시스템학회지 산업경영시스템학회지 제41권 제3호 KCI Accredited Journals
Published
2018.1
Pages
154 - 161 (8page)

Usage

cover
A Prediction of Stock Price Through the Big-data Analysis
Ask AI
Recommendations
Search

Abstract· Keywords

Report Errors
This study conducted to predict the stock market prices based on the assumption that internet news articles might have an impact and effect on the rise and fall of stock market prices. The internet news articles were tested to evaluate the accuracy by comparing predicted values of the actual stock index and the forecasting models of the companies. This paper collected stock news from the internet, and analyzed and identified the relationship with the stock price index. Since the internet news contents consist mainly of unstructured texts, this study used text mining technique and multiple regression analysis technique to analyze news articles. A company H as a representative automobile manufacturing company was selected, and prediction models for the stock price index of company H was presented. Thus two prediction models for forecasting the upturn and decline of H stock index is derived and presented. Among the two prediction models, the error value of the prediction model ① is low, and so the prediction performance of the model ① is relatively better than that of the prediction model ②. As the further research, if the contents of this study are supplemented by real artificial intelligent investment decision system and applied to real investment, more practical research results will be able to be developed.

Contents

No content found

References (14)

Add References
Ann, S.W. / 2010 / Stock Prediction Using News Text Mining and Time Series Analysis / Korea Computer Congress 37(1):364~369 google schola Chun, S.W. / A Comparative Study on the Accuracy of Stock Price Prediction by Medium by Opinion Mining of News Contents / 2013 Spring Conference of the Korea Intelligent Information System Society :133~137 google schola Hur, Y.M. / 2014 / The correlation between big data and stock index using real-time popular search terms google schola 정훈 / 2018 / 차륜 및 차축베어링 고장진단을 위한 빅데이터 기반 머신러닝 기법 연구 / 한국산학기술학회논문지 19(1):75~84 dbpia 김동영 / 2014 / SNS와 뉴스기사의 감성분석과 기계학습을 이용한 주가예측 모형 비교 연구 / 한국IT서비스학회지 13(3):221~233 dbpia

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Recently viewed articles

식품 산업발전을 위한 학회의 역할
박영서Korean Society of Food Science and Technology2022.06

Comments(0)

0

Write first comments.