SEGMENTATION BASED ON CLUSTERING ENGINES APPLIED TO SUMMARIES
Abstract:
Examples disclosed herein relate to segmentation based on clustering engines applied to summaries. In one implementation, a processor segments text based on a comparison of the output of multiple clustering engines applied to multiple summarizations of documents associated with the text. The processor outputs information related to the contents of the segments.
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