Automated opinion prediction based on indirect information
First Claim
1. 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 comprising;
building a corpus which includes a first collection of documents attributable to a first person and a second collection of documents not attributable to the first person, wherein the second collection of documents is identified from content in the first collection of documents, wherein each of the second collection of documents is available from a respective secondary source;
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, including determining, for each secondary source, a source weight factor characterizing a presumed opinion of the secondary source held by the first person;
receiving a request to predict an opinion of the first person regarding a topic specified in the request;
generating a predicted opinion of the first person regarding the topic from the model, based on;
(i) the opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents and (ii) each source weight factor characterizing the presumed opinion of the respective secondary source held by the first person; and
returning the predicted opinion responsive to the request.
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Abstract
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.
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Citations
20 Claims
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1. A system for predicting an opinion, the system comprising:
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one or more computer processors; a memory containing a program which, when executed by the one or more computer processors, performs an operation comprising; building a corpus which includes a first collection of documents attributable to a first person and a second collection of documents not attributable to the first person, wherein the second collection of documents is identified from content in the first collection of documents, wherein each of the second collection of documents is available from a respective secondary source; 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, including determining, for each secondary source, a source weight factor characterizing a presumed opinion of the secondary source held by the first person; receiving a request to predict an opinion of the first person regarding a topic specified in the request; generating a predicted opinion of the first person regarding the topic from the model, based on;
(i) the opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents and (ii) each source weight factor characterizing the presumed opinion of the respective secondary source held by the first person; andreturning the predicted opinion responsive to the request. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer program product to predict an opinion, the computer program product comprising:
a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising; building a corpus which includes a first collection of documents attributable to a first person and a second collection of documents not attributable to the first person, wherein the second collection of documents is identified from content in the first collection of documents, wherein each of the second collection of documents is available from a respective secondary source; 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, including determining, for each secondary source, a source weight factor characterizing a presumed opinion of the secondary source held by the first person; receiving a request to predict an opinion of the first person regarding a topic specified in the request; generating a predicted opinion of the first person regarding the topic from the model, based on;
(i) the opinions of the first person relative to topics, concepts, or subjects discussed in the first and second collections of documents and (ii) each source weight factor characterizing the presumed opinion of the respective secondary source held by the first person; andreturning the predicted opinion responsive to the request. - View Dependent Claims (16, 17, 18, 19, 20)
Specification