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. A method for predicting an opinion, the method 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; and generating a predicted opinion of the first person regarding the topic from the model. 2. The method of claim 1, 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. 3. The method of claim 2, 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. 4. The method of claim 3, 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. 5. The method of claim 4, wherein the determining a source weight factor further comprising 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. 6. The method of claim 5, 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. 7. The method of claim 1, wherein the first person represents a group of individuals. 8. The method of claim 1, further comprising returning the predicted opinion along with the documents which reference the topic of the questions.