Back to results
US 11,900,400 B2Granted
Enhanced survey information synthesis
AssigneeInternational Business Machines Corporation
InventorsAbhijit Deshmukh, Venkata Vara Prasad Karri, Saraswathi Sailaja Perumalla, Vamsi Vasireddy
Life of this patent
Estimating the term…
Abstract
Enhanced survey information synthesis can include performing a respondent assessment of a survey respondent based on respondent data obtained electronically from one or more electronic data sources. Survey responses provided by the survey respondent can be adjusted, the adjusting based on the respondent assessment. A revised survey can be generated, the revised survey comprising the survey responses adjusted based on the respondent assessment.
Claims14
A computer program product, comprising
- a computer readable hardware storage device having program instructions embodied therewith,
- the program instructions, which when executed by a computer hardware system including a respondent assessor, a response adjuster assessor, a source assessor, and a revised results generator, cause the computer hardware system to perform:
- receiving, from a survey source and by the source assessor, electronic survey data corresponding to a survey including survey responses from a plurality of survey respondents;
- retrieving, for each of the plurality of survey respondents and by the source assessor, respondent data from an electronic data source separate from the computer hardware system;
- performing a respondent assessment, using a deep learning neural network within the respondent assessor, of the survey respondent based on the respondent data;
- adjusting, using a classification generated by the deep learning neural network for each of the plurality of survey respondents and by the response adjuster, the survey responses to generate adjusted survey responses;
- and
- generating, by the revised results generator, revised electronic survey data corresponding to a revised survey including the adjusted survey responses, wherein
- the survey source is an electronic device, wherein
- the deep learning neural network is configured to:
- generate an output based upon an input vector fed through a plurality of layers of the deep learning neural network, and
- adjust weights of the plurality of layers by applying a backpropagation algorithm to the output.
9 more elements
A computer hardware system, comprising:
- a hardware processor including a respondent assessor, a response adjuster assessor, a source assessor, and a revised results generator and configured to initiate the following operations:
- receiving, from a survey source and by the source assessor, electronic survey data corresponding to a survey including survey responses from a plurality of survey respondents;
- retrieving, for each of the plurality of survey respondents and by the source assessor, respondent data from an electronic data source separate from the computer hardware system;
- performing a respondent assessment, using a deep learning neural network within the respondent assessor, of the survey respondent based on the respondent data;
- adjusting, using a classification generated by the deep learning neural network for each of the plurality of survey respondents and by the response adjuster, the survey responses to generate adjusted survey responses;
- and
- generating, by the revised results generator, revised electronic survey data corresponding to a revised survey including the adjusted survey responses, wherein the survey source is an electronic device, wherein
- the deep learning neural network is configured to:
- generate an output based upon an input vector fed through a plurality of layers of the deep learning neural network, and
- adjust weights of the plurality of layers by applying a backpropagation algorithm to the output.
7 more elements
Dependencies are inferred from the claim text.