System and Method of Self-Learning Conceptual Mapping to Organize and Interpret Data
First Claim
1. A computer implemented method of researching textual data sources, comprising:
- converting textual data into first numeric representations;
forming a first self-organizing map using the first numeric representations, wherein the first numeric representations of the textual data are organized by similarities;
forming a second self-organizing map from second numeric representations generated from the organization of the first self-organizing map, wherein the second numeric representations are organized into clusters of similarities on the second self-organizing map; and
forming dialectic arguments from the second self-organizing map to interpret the textual data.
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Abstract
In a computer implemented method of researching textual data sources, textual data is reduced to a plurality of distinctive words based on frequency of usage within the textual data. The distinctive words are converted into first numeric representations of vectors containing random numbers. A first self-organizing map is formed from the first numeric representations and organized by similarities between the vectors. A second self-organizing map is formed from second numeric representations generated from the organization of the first self-organizing map. The second numeric representations are vectors derived from the first self-organizing map. The vectors are used to train the second self-organizing map. The vectors derived from the first self-organizing map are organized into clusters of similarities between the vectors on the second self-organizing map. Dialectic arguments are formed from the second self-organizing map to interpret the textual data.
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Citations
27 Claims
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1. A computer implemented method of researching textual data sources, comprising:
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converting textual data into first numeric representations; forming a first self-organizing map using the first numeric representations, wherein the first numeric representations of the textual data are organized by similarities; forming a second self-organizing map from second numeric representations generated from the organization of the first self-organizing map, wherein the second numeric representations are organized into clusters of similarities on the second self-organizing map; and forming dialectic arguments from the second self-organizing map to interpret the textual data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method of interpreting textual data, comprising:
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converting the textual data into first numeric representations; forming a first self-organizing map using the first numeric representations; forming a second self-organizing map from second numeric representations generated from the first self-organizing map, wherein the second numeric representations are organized into clusters on the second self-organizing map; and forming dialectic arguments from the second self-organizing map to interpret the textual data. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18)
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19. A computer program product usable with a programmable computer processor having a computer readable program code embodied therein, comprising:
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computer readable program code which converts the textual data into first numeric representations; computer readable program code which forms a first self-organizing map using the first numeric representations; computer readable program code which forms a second self-organizing map from second numeric representations generated from the first self-organizing map, wherein the second numeric representations are organized into clusters on the second self-organizing map; and computer readable program code which forms dialectic arguments from the second self-organizing map to interpret the textual data. - View Dependent Claims (20, 21, 22, 23, 24, 25, 26)
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27. A computer system for interpreting textual data, comprising:
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means for converting the textual data into first numeric representations; means for forming a first self-organizing map using the first numeric representations; means for forming a second self-organizing map from second numeric representations generated from the first self-organizing map, wherein the second numeric representations are organized into clusters on the second self-organizing map; and means for forming dialectic arguments from the second self-organizing map to interpret the textual data.
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Specification