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A Stock Prediction System Based on News and Twitter
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- 발행기관
- 보안공학연구지원센터(IJSEIA) 바로가기
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- 간행물
- International Journal of Software Engineering and Its Applications SCOPUS 바로가기
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- 통권
- Vol.10 No.6 (2016.06)바로가기
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- 페이지
- pp.69-80
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A280395
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- As more concerns by the public about stock markets grow bigger, the more the people’s attention is drawn to a systematic method to predict stock prices that fluctuate. More importantly, as the modern stock markets react very sensitively to information for their stock prices, it is very important to predict the prices for investors. For that, this study shall utilize opinion mining and mechanical learning, which are widely used to analyze the meaning of information in systematic ways on analyzing data from news and Twitter to suggest a system that predicts stock prices. The stock price prediction system consists of a data collector, vocabulary analyzer, sentiment analyzer and stock price predictor. The stock price predicting steps consist of collecting contents of news and Twitter, extracting vocabularies by using morpheme analysis, executing sentiment analysis then predicting stock prices via mechanical learning. In order to evaluate the usefulness of the suggested method, we used the stock data for the last whole year on 7 companies in the bio industry that are most sensitive to information for the tests, and the accuracy of the results showed above 80%. The results of this study can be regarded as one of the methods to effectively predict stock prices of companies from various backgrounds in this modern information era that changes dramatically every moment.
목차
Abstract
1. Introduction
2. Related Works
3. A Stock Prediction System based on News and Twitters
3.1. System Architecture
3.2. Prediction Process and Data Flow
3.3. Data Collector
3.4. Lexical Parser
3.5. Sentiment Analyzer
3.6. Stock Price Predictor
4. Implementation Results and Analysis
5. Conclusions
References
키워드
Stock Price Prediction Data Mining Opinion Mining Machine Learning저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSEIA) [Science & Engineering Research Support Center, Republic of Korea(IJSEIA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Software Engineering and Its Applications
- 간기
- 월간
- pISSN
- 1738-9984
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Software Engineering and Its Applications Vol.10 No.6
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