A computer-implemented method for making decisions on data objects is provided. The method includes the steps of receiving data objects in a computer, applying a first artificial intelligence method to a data object, and applying a second artificial intelligence method to the results from the application of the first artificial intelligence method.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method for making decisions on data objects, comprising the steps of: a) receiving data objects in a computer; b) applying a first artificial intelligence method to a data object; and c) applying a second artificial intelligence method to the results from the application of the first artificial intelligence method. 2. The computer-implemented method according to claim 1 wherein the first artificial intelligence method is applied to all data objects first, and then the second artificial intelligence method is applied to the results for all data objects. 3. The computer-implemented method according to claim 1 wherein the first artificial intelligence method is applied to each data object, and then the second artificial intelligence method is applied to the result for the same data object before another data object is processed. 4. The computer-implemented method according to claim 2, wherein the first artificial intelligence method includes an Expert Systems method or a Natural Language Processing method, wherein the second artificial intelligence method includes a Machine Learning method, wherein applying the second artificial intelligence method to the results from the application of the first artificial intelligence method includes selecting decision outcomes for each data object that the first artificial intelligence method did not select a decision outcome. 5. The computer-implemented method according to claim 2, wherein the first artificial intelligence method includes an Expert Systems method or a Natural Language Processing method, wherein the second artificial intelligence method is a supervised Machine Learning method, wherein the computer-implemented method further includes d) using decision outcomes from the first artificial intelligence method as training examples to train the second artificial intelligence method. 6. The computer-implemented method according to claim 2, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein the Natural Language Processing method reduces the number of possible decision outcomes that are considered by the second artificial intelligence method. 7. The computer-implemented method according to claim 2, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein applying the first artificial intelligence method to the data object includes reducing a set of data object properties that can be used by the second artificial intelligence method to make a decision. 8. The computer-implemented method according to claim 2, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein applying the first artificial intelligence method to the data object includes setting the value of additional data object metadata values that are used by the second artificial intelligence method to make a decision. 9. The computer-implemented method according to claim 3, wherein the first artificial intelligence method includes an Expert Systems method or Natural Language Processing method, wherein the second artificial intelligence method includes a Machine Learning method, wherein applying the second artificial intelligence method to the results from the application of the first artificial intelligence method includes selecting decision outcomes for each data object for which the first artificial intelligence method did not select a decision outcome. 10. The computer-implemented method according to claim 3, wherein the first artificial intelligence method includes an Expert Systems method or Natural Language Processing method, wherein the second artificial intelligence method includes a supervised Machine Learning method, wherein the computer-implemented method further includes d) using the decision outcomes from the first artificial intelligence method as training examples to train the second artificial intelligence method. 11. The computer-implemented method according to claim 3, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein applying the first artificial intelligence method to the data object includes reducing the number of possible decision outcomes that are considered by the second artificial intelligence method. 12. The computer-implemented method according to claim 3, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein applying the first artificial intelligence method to the data object includes reducing the set of data object properties that can be used by the second artificial intelligence method to make the decision. 13. The computer-implemented method according to claim 3, wherein the first artificial intelligence method includes a Natural Language Processing method, wherein applying the first artificial intelligence method to the data object includes setting the value of additional data object metadata values that are used by the second artificial intelligence method to make the decision. 14. The computer-implemented method according to claim 1, wherein the data object comprises a text object. 15. A computer-implemented method for making decisions on data objects, comprising the steps of: a) receiving data objects in a computer; b) applying a first artificial intelligence method to the data object; c) determining if the first artificial intelligence method selects a decision outcome for the data object; d) if the first artificial intelligence method selects a decision outcome for the data object, then storing the decision outcome in the data object meta data; and e) if the first artificial intelligence method does not select a decision outcome for the data object, then applying a second artificial intelligence method to the results from the application of the first artificial intelligence method. 16. The computer-implemented method according to claim 15 further including f) determining if the second artificial intelligence method selects a decision outcome for the data object after step e); and g) storing a no decision outcome in the data object metadata if the second artificial intelligence method and the first artificial intelligence method do not select a decision outcome for the data object. 17. The computer-implemented method according to claim 16, further including h) storing the decision outcome in the data object metadata if the second artificial intelligence method selects a decision outcome for the data object. 18. The computer-implemented method according to claim 15 wherein the first artificial intelligence method includes an Expert Systems method or a Natural Language Processing method, wherein the second artificial intelligence method includes a Machine Learning method. 19. The computer-implemented method according to claim 15 further including f) presenting the data object to a third artificial intelligence method after applying a second artificial intelligence method to the results from the application of the first artificial intelligence method; g) determining if the third artificial intelligence method confirms a decision outcome for the data object; and h) if the third artificial intelligence method confirms a decision outcome for the data object, then setting the data object metadata to indicate that the outcome is confirmed. 20. The computer-implemented method according to claim 19 wherein the third artificial intelligence method is iterative and with no specific limit. 21. A non-transitory computer-readable medium for making decisions on data objects, comprising, instructions stored thereon, that when executed on a processor, perform the steps of: a) receiving data objects in a computer; b) applying a first artificial intelligence method to the data object; and c) applying a second artificial intelligence method to the results from the application of the first artificial intelligence method. 22. The non-transitory computer-readable medium according to claim 21, wherein the first artificial intelligence method includes an Expert Systems method or a Natural Language Processing method, wherein the second artificial intelligence method includes a Machine Learning method, wherein applying the second artificial intelligence method to the results from the application of the first artificial intelligence method includes selecting decision outcomes for each data object that the first artificial intelligence method did not select a decision outcome.