System and method for generating a knowledge metric using qualitative internet data
An online marketing research measurement that allows a user to derive and/or monitor knowledge metrics, such as awareness metrics, recommendation metrics, advocacy metrics, etc. about a target subject, such as the user's brands and/or products using existing data on the Internet. Rather than re...
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Main Author | |
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Format | Patent |
Language | English |
Published |
13.05.2014
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Subjects | |
Online Access | Get full text |
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Summary: | An online marketing research measurement that allows a user to derive and/or monitor knowledge metrics, such as awareness metrics, recommendation metrics, advocacy metrics, etc. about a target subject, such as the user's brands and/or products using existing data on the Internet. Rather than requiring responses solicited from active participants in a survey (as in traditional surveys), unsolicited opinion data residing on the Internet can be gathered and processed for deriving various types of knowledge metrics. A recommendation metric can be derived from opinion data gathered from the Internet, which reflects a measure of recommendation opinions about the target subject. Users may identify the specific brand in which they are interested. After an Internet crawler is sent out to select data, the engine cleans the results of poor quality data, codes the data according to the appropriate constructs or variables, and then scores the sentiment using the system's sentiment engine. |
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Bibliography: | Application Number: US201213598921 |