Techniques are disclosed to determine an expected or predicted opinion of a target individual. To do so, a deep question answer system may build a corpus which includes a first collection of documents attributable to a first person and a second collection of documents identified from content in the first collection of documents and evaluate the corpus to build a model representing opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents. The deep question answer system may also receive a request to predict an opinion of the first person regarding a topic and generate a predicted opinion of the first person regarding the topic from the model.
Please help me write a proper abstract based on the patent claims. CLAIM: 1-8. (canceled) 9. A system for predicting an opinion, the system comprising: one or more computer processors; a memory containing a program which when executed by the one or more computer processors performs an operation, the operation comprising: building a corpus which includes a first collection of documents attributable to a first person and a second collection of documents identified from content in the first collection of documents; evaluating the corpus to build a model representing opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents; receiving a request to predict an opinion of the first person regarding a topic specified in the request; and generating a predicted opinion of the first person regarding the topic from the model. 10. The system of claim 9, further comprising: parsing the first collection of documents to identify secondary sources, wherein each document in the second collection of documents is available from one the secondary sources; and accessing each secondary source to identify documents to add to the second collection of documents. 11. The system of claim 10, wherein evaluating the corpus comprises: identifying topics, concepts, or subjects referenced by documents in the first collection of documents; determining indications of opinions expressed about the topics, concepts, or subjects referenced by documents in the first collection. 12. The system of claim 11, further comprising: parsing each document accessed from the secondary source to identify topics, concepts, or subjects referenced by the respective documents from the secondary source; determining indications of opinions on the topics, concepts, or subjects referenced by documents in the second collection; and determining a source weight factor characterizing a presumed opinion of each of the secondary sources held by the first person. 13. The system of claim 12, wherein the determining a source weight factor further comprises correlating the topics, concepts, or subjects identified in one of the secondary sources with the associated topics, concepts, or subjects identified in the first collection of documents. 14. The system of claim 13, further comprising, generating the predicted opinion of the first person regarding the topic from the model is based on indications of opinions expressed about the topics, concepts, or subjects referenced by documents in the first collection, indications of opinions on one or more of the topics, concepts, or subjects referenced by documents in the second collection and the source weight factor. 15. A computer program product, comprising: a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code for predicting an opinion comprising: computer-readable program code configured to build a corpus which includes a first collection of documents attributable to a first person and a second collection of documents identified from content in the first collection of documents; computer-readable program code configured to evaluate the corpus to build a model representing opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents; computer-readable program code configured to receive a request to predict an opinion of the first person regarding a topic specified in the request; and computer-readable program code configured to generate a predicted opinion of the first person regarding the topic from the model. 16. The computer-program product of claim 15, further comprising: computer-readable program code configured to parse the first collection of documents to identify secondary sources, wherein each document in the second collection of documents is available from one the secondary sources; and computer-readable program code configured to access each secondary source to identify documents to add to the second collection of documents. 17. The computer-program product of claim 16, wherein evaluating the corpus comprises: computer-readable program code configured to identify topics, concepts, or subjects referenced by documents in the first collection of documents; and computer-readable program code configured to determine indications of opinions expressed about the topics, concepts, or subjects referenced by documents in the first collection. 18. The computer-program product of claim 17, further comprising: computer-readable program code configured to parse each document accessed from the secondary source to identify topics, concepts, or subjects referenced by the respective documents from the secondary source; computer-readable program code configured to determine indications of opinions on the topics, concepts, or subjects referenced by documents in the second collection; and computer-readable program code configured to determine a source weight factor characterizing a presumed opinion of each of the secondary sources held by the first person. 19. The computer-program product of claim 18, wherein the determining a source weight factor further comprises computer-readable program code configured to correlate the topics, concepts, or subjects identified in one of the secondary sources with the associated topics, concepts, or subjects identified in the first collection of documents. 20. The computer-program product of claim 19, further comprising, computer-readable program code configured to generate the predicted opinion of the first person regarding the topic from the model is based on indications of opinions expressed about the topics, concepts, or subjects referenced by documents in the first collection, indications of opinions on one or more of the topics, concepts, or subjects referenced by documents in the second collection and the source weight factor.