Applied Text-Mining Algorithms for Stock Price Prediction Based on Financial News Articles
This article includes a developed model and well-defined process that one should undertake in order to contribute in the prediction of the potential stock price fluctuation solely based on financial news from relevant sources. We are providing background information on this topic adding the role...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Primorska
2019-12-01
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| Series: | Managing Global Transitions |
| Subjects: | |
| Online Access: | http://www.hippocampus.si/ISSN/1854-6935/17.335-351.pdf |
| Summary: | This article includes a developed model and well-defined process that one
should undertake in order to contribute in the prediction of the potential
stock price fluctuation solely based on financial news from relevant
sources. We are providing background information on this topic adding
the role of text mining in general, furthermore supporting the idea with
the study of relevant research articles to narrow the focus on the problemwe
are researching.Our proposedmodel relies on existing text-mining
techniques used for sentiment analysis, combinedwith historical data from
relevant news sources as well as stock data. In confirming the model, after
the experiment we have provided the results of the simulation, which
are opening the ground for further explorations in this sensitive area of
prediction. |
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| ISSN: | 1581-6311 1854-6935 |