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ISSN:
1798-2340 (Online)
Frequency:
Monthly
DOI:
10.12720/jait
Indexing:
ESCI (Web of Science)
,
Scopus
,
CNKI
,
etc
.
Acceptance Rate:
19%
APC:
500 USD
Average Days to Accept:
135 days
Journal Metrics:
Impact Factor 2022: 1.0
3.1
2022
CiteScore
49th percentile
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Editor-in-Chief
Prof. Kin C. Yow
University of Regina, Saskatchewan, Canada
I'm delighted to serve as the Editor-in-Chief of
Journal of Advances in Information Technology
.
JAIT
is intended to reflect new directions of research and report latest advances in information technology. I will do my best to increase the prestige of the journal.
What's New
2024-02-26
The papers published in Vol. 15, Nos. 1&2 have been registered with Crossref.
2024-02-26
Vol. 15, No. 2 has been published online!
2024-01-26
JAIT Vol. 14, No. 5 has been indexed by Scopus.
Home
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Published Issues
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2019
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Volume 10, No. 3, August 2019
>
Internet Financial News and Prediction for Stock Market: An Empirical Analysis of Tourism Plate Based on LDA and SVM
Jinxiao Wang
1
, Jiaxin Shi
2
, Dexin Han
3
, and Xiaoyu Zhao
3
1. Tsinghua University, Beijing, China
2. Peking University HSBC Business School, Shenzhen, China
3. China University of Political Science and Law, Beijing, China
Abstract
—Internet financial news plays an important role in stock market forecasting. This paper discusses the relationship between the content of the Internet financial news and the yield of the stock market by using text mining technology and machine learning technology. The Latent Dirichlet distribution (LDA) model is used to analyze the Internet financial news. And the support vector machine (SVM) algorithm is used to predict the trend of the sector. Afterward constructs a trading strategy. The results show that the introduction of the information of tourism topic distribution in the Internet financial news can effectively improve the accuracy rate of forecast, thus increasing return of investment, especially when the stock market is in a volatile period. To sum up, the information of Internet.
Index Terms
—internet financial news, stock market forecast, text mining, support vector machine
Cite: Jinxiao Wang, Jiaxin Shi, Dexin Han, and Xiaoyu Zhao, "Internet Financial News and Prediction for Stock Market: An Empirical Analysis of Tourism Plate Based on LDA and SVM," Journal of Advances in Information Technology, Vol. 10, No. 3, pp. 95-99, August 2019. doi: 10.12720/jait.10.3.95-99
3-BAI2019-259-中国
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