Stock Price Prediction Through the Sentimental Analysis of News Articles

Jaeyoon Kim, Jangwon Seo, Minhyeok Lee, Junhee Seok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages700-702
Number of pages3
ISBN (Electronic)9781728113395
DOIs
Publication statusPublished - 2019 Jul 1
Event11th International Conference on Ubiquitous and Future Networks, ICUFN 2019 - Zagreb, Croatia
Duration: 2019 Jul 22019 Jul 5

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2019-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference11th International Conference on Ubiquitous and Future Networks, ICUFN 2019
CountryCroatia
CityZagreb
Period19/7/219/7/5

Fingerprint

Glossaries
Artificial intelligence
Financial markets
Big data

Keywords

  • Positive index value
  • Sentimental analysis
  • Sentimental dictionary
  • Stock price analysis
  • Stock return value

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

Cite this

Kim, J., Seo, J., Lee, M., & Seok, J. (2019). Stock Price Prediction Through the Sentimental Analysis of News Articles. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks (pp. 700-702). [8806182] (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/ICUFN.2019.8806182

Stock Price Prediction Through the Sentimental Analysis of News Articles. / Kim, Jaeyoon; Seo, Jangwon; Lee, Minhyeok; Seok, Junhee.

ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. p. 700-702 8806182 (International Conference on Ubiquitous and Future Networks, ICUFN; Vol. 2019-July).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kim, J, Seo, J, Lee, M & Seok, J 2019, Stock Price Prediction Through the Sentimental Analysis of News Articles. in ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks., 8806182, International Conference on Ubiquitous and Future Networks, ICUFN, vol. 2019-July, IEEE Computer Society, pp. 700-702, 11th International Conference on Ubiquitous and Future Networks, ICUFN 2019, Zagreb, Croatia, 19/7/2. https://doi.org/10.1109/ICUFN.2019.8806182
Kim J, Seo J, Lee M, Seok J. Stock Price Prediction Through the Sentimental Analysis of News Articles. In ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society. 2019. p. 700-702. 8806182. (International Conference on Ubiquitous and Future Networks, ICUFN). https://doi.org/10.1109/ICUFN.2019.8806182
Kim, Jaeyoon ; Seo, Jangwon ; Lee, Minhyeok ; Seok, Junhee. / Stock Price Prediction Through the Sentimental Analysis of News Articles. ICUFN 2019 - 11th International Conference on Ubiquitous and Future Networks. IEEE Computer Society, 2019. pp. 700-702 (International Conference on Ubiquitous and Future Networks, ICUFN).
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