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SVO-based taxonomy-driven text analytics

  • US 9,817,810 B2
  • Filed: 11/07/2012
  • Issued: 11/14/2017
  • Est. Priority Date: 11/07/2012
  • Status: Expired due to Fees
First Claim
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1. A computer program product for classifying data, the computer program product comprising a computer readable storage device having program code embodied therewith, the program code being executable by a processor to:

  • receive textual data, and analyze the received data,wherein the analysis comprises program code to;

    identify at least one sentence from the received data;

    parse parts of speech of one or more words of the identified sentence using a linguistic parser, including parsing a verb from the at least one parsed sentence, and identifying a verb usage pattern in the at least one identified sentence;

    form a low level subject-verb-object (SVO) triplet for the at least one parsed sentence, including identifying a subject, verb, and object of the at least one parsed sentence, wherein the identification of the subject, verb, and object comprises joining the identified verb usage pattern with a form of the identified verb to ascertain linguistic taxonomy;

    form a high level SVO triplet for the at least one parsed sentence, including determining a subject category for the subject, a verb category for the verb, and an object category for the object based on the taxonomy; and

    classify the at least one parsed sentence based on the high level SVO triplet; and

    summarize the analysis of the stored data, including;

    produce an analysis report reflective of the analysis; and

    convert the produced analysis report into a summary report reflective of the analysis report, including cluster the received textual data into one or more statement clusters, wherein the summary report comprises the statement clusters.

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