7
Text Mining

Step 1: Given a Text document table, and an Oracle Text Index built against the documents, extract the text "features" using a simple PL/SQL driver provided with the ODM installation (see Section 5.2, "Summary of ODM PL/SQL Sample Programs"). This driver demonstrates how to store all the text features corresponding to a DocID into a table with nested table columns.

Step 2: Provided the table created in Step 1 as input to the CREATE_MODEL or APPLY operation, as appropriate, to be classified using any classification algorithm -- such as SVM, or a clustering algorithm such as k-Means, or a feature extraction algorithm such as NMF.