Text‑Mining in Streams of Textual Data Using Time Series Applied to Stock Market
Each day, a lot of text data is generated. This data comes from various sources and may contain valuable information. In this article, we use text mining methods to discover if there is a connection between news articles and changes of the S&P 500 stock index. The index values and documents...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Mendel University Press
2018-01-01
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| Series: | Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis |
| Subjects: | |
| Online Access: | https://acta.mendelu.cz/66/6/1573/ |