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About Kenerl Based SVM Classification For Financial News
The document discusses using a kernel-based SVM classification method to classify financial news articles to predict stock market performance. It aims to improve SVM classification accuracy by introducing a Gaussian radial basis polynomial kernel function. The method involves selecting features from news articles and market data, training an SVM classifier on labeled historical data, and then classifying new news articles to predict stock price movements.
Detailed Information
| Author: | ['WARSE Journals'] |
|---|---|
| Publication Year: | 2013 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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