System and method of self-learning conceptual mapping to...

Details System and method of self-learning conceptual mapping to... System and method of self-learning conceptual mapping to...

2005-05-10

2008-11-04

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Neural network

Learning task

C706S045000

Reexamination Certificate

active

07447665

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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