Systems and methods for programatically classifying text using category filtration
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United States of America Patent
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Jan 10, 2017
Grant Date -
Feb 19, 2015
app pub date -
Aug 15, 2013
filing date -
Aug 15, 2013
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Abstract
Systems and methods for programmatically causing a machine to classify and extract the meaning of text are discussed herein. Some embodiments may provide for a system including circuitry configured to identify topics associated with a block of text and one or more categories for each of the topics. Each unique category across the one or more categories may be further associated with one or more levels of parent and/or child categories to form an expanded category set of category nodes having parent-child relationships. Based on a number of category nodes connected to each unique category, the circuitry may be configured to determine one or more filtered categories from the unique categories and one or more filtered topics. Filtered topics or categories may be used to programmatically classify text with a more relevant data set than may be possible without the filtering.
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