Text analysis on unstructured text to identify a high level of intensity of negative thoughts or beliefs
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United States of America Patent
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Jan 23, 2018
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app pub date -
Apr 8, 2016
filing date -
Apr 8, 2016
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Abstract
A method, a processing device, and a computer program product are provided. Via at least one processing device, each text file is selected from a collection of text files, wherein the collection of text files has an intensity with respect to negative sentiment toward a common issue. At least one profile algorithm is performed, each calculating a corresponding profile score for that text file. At least one corresponding profile score of the text files of the collection are combined to produce an aggregated profile score for each of at least one profile algorithm. The aggregated profile score of each of the at least one profile algorithm for the collection is stored. A signature for the collection of text files includes the aggregated profile score of each of the at least one profile algorithm for the collection.
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