Decision trees based on the computational verb correlation

In this paper, computational verb correlation (verb correlation, for short) is applied to stock market in order to find the correlation between different stock indexes. In previous works, computational verb similarities are used to provide the measurement for selecting the attributes in order to train decision trees. In this paper, a training method of decision tree is constructed based on verb correlation. Some examples are used to show the usefulness of our training algorithm for verb decision trees.