Systems for crowd typing by hierarchy of influence
First Claim
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1. A computerized method implemented by at least one processor executing computer executable code having instructions that when executed by the at least one processor cause the at least one processor to perform steps comprising:
- analyzing a plurality of time series data strings provided by two or more authors, each time series data string having at least one pre-determined word to generate a first data set including a plurality of emotional scores with respect to the pre-determined word within the data strings;
determining influence scores for each author based on the emotional scores and echoing of the time series data strings, the authors forming a crowd;
determining a first regression line based on the influence scores to provide a raw hierarchy score using slope of the first regression line;
determining a second regression line to provide a central hierarchy score using slope of the second regression line;
comparing the raw hierarchy score and the central hierarchy score to classify crowd type of the two or more authors; and
,outputting an influential score report indicating the crowd type based on comparison of the raw hierarchy score and the central hierarchy score.
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Abstract
Systems and methods for providing hierarchy scores are described. Generally, influence scores for authors of a crowd may be determined based on emotional scores and echoing of time series data strings. One or more regression lines may be determined based on the influence scores to provide a raw hierarchy score and/or a central hierarchy score. Analysis and/or comparisons of the hierarchy scores may be used to classify the crowd type and output an influential score report.
23 Citations
17 Claims
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1. A computerized method implemented by at least one processor executing computer executable code having instructions that when executed by the at least one processor cause the at least one processor to perform steps comprising:
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analyzing a plurality of time series data strings provided by two or more authors, each time series data string having at least one pre-determined word to generate a first data set including a plurality of emotional scores with respect to the pre-determined word within the data strings; determining influence scores for each author based on the emotional scores and echoing of the time series data strings, the authors forming a crowd; determining a first regression line based on the influence scores to provide a raw hierarchy score using slope of the first regression line; determining a second regression line to provide a central hierarchy score using slope of the second regression line; comparing the raw hierarchy score and the central hierarchy score to classify crowd type of the two or more authors; and
,outputting an influential score report indicating the crowd type based on comparison of the raw hierarchy score and the central hierarchy score. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A system, comprising:
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a host system having a microprocessor; and
,a computer readable medium storing a set of instructions that when executed by the microprocessor, cause the microprocessor to; obtain and record in a first database, scores indicative of emotional scoring; obtain at least two textual sources of information having time information indicative of the times when the textual sources of information were created; analyze and determine an emotional score for the textual sources of information using the first database; analyze and determine an influential score for authors of the textual sources of information, the authors forming a crowd; map the influential scores for authors of the textual sources of information; analyze and determine crowd type of the authors of the textual source of information using the map of the influential scores; and
,generate and pass digital data indicative of an influential score report containing the crowd type to at least one user device in communication with the host system. - View Dependent Claims (13, 14, 15, 16, 17)
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Specification