Patents Assigned to Kairos Future Group AB
  • Unsupervised detection and categorization of word clusters in text data
    Patent number: 9563666
    Abstract: Categorizing data sets obtained from a number of sources includes determining the frequency of appearance of symbols in a first collection of data sets and the frequency of appearance of symbols in a second collection of data sets, determining the most significant symbols for the second collection based on the frequency of appearance in the first collection and the frequency of appearance in the second collection, grouping the most significant symbols into groups according to their appearance in the same data set and ranking the data sets in relation to the symbol groups according to a ranking scheme. Related methods, devices, and/or computer program products are described.
    Type: Grant
    Filed: November 9, 2012
    Date of Patent: February 7, 2017
    Assignee: Kairos Future Group AB
    Inventors: Tomas Larsson, Mats Lindgren
  • Unsupervised Detection and Categorization of Word Clusters in Text Data
    Publication number: 20140297659
    Abstract: Categorizing data sets obtained from a number of sources includes determining the frequency of appearance of symbols in a first collection of data sets and the frequency of appearance of symbols in a second collection of data sets, determining the most significant symbols for the second collection based on the frequency of appearance in the first collection and the frequency of appearance in the second collection, grouping the most significant symbols into groups according to their appearance in the same data set and ranking the data sets in relation to the symbol groups according to a ranking scheme. Related methods, devices, and/or computer program products are described.
    Type: Application
    Filed: November 9, 2012
    Publication date: October 2, 2014
    Applicant: Kairos Future Group AB
    Inventors: Tomas Larsson, Mats Lindgren