Patents by Inventor Rick Kieser

Rick Kieser has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for automatically detecting sentiments and assigning and analyzing quantitate values to the sentiments expressed in text
    Patent number: 11062094
    Abstract: A method of analyzing sentiments includes receiving one or more strings of text, identifying sentiments related to a first topic from the one or more strings of text, and assigning a sentiment score to each of the sentiments related to the first topic, where the sentiment score corresponds to a degree of positivity or negativity of a sentiment of the sentiments. The method further includes calculating an average sentiment score for the first topic based on the sentiment score for each of the sentiments related to the first topic, determining a percentile for the first topic based on a frequency of sentiments related to the first topic, where the percentile for the first topic is determined with respect to a maximum frequency of sentiments related to one or more other topics, and computing an X-Score based on the average sentiment score and the percentile of the first topic.
    Type: Grant
    Filed: May 7, 2019
    Date of Patent: July 13, 2021
    Assignee: LANGUAGE LOGIC, LLC
    Inventors: Rick Kieser, Charles Baylis, Serge Luyens
  • SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING SENTIMENTS AND ASSIGNING AND ANALYZING QUANTITATE VALUES TO THE SENTIMENTS EXPRESSED IN TEXT
    Publication number: 20200004816
    Abstract: A method of analyzing sentiments includes receiving one or more strings of text, identifying sentiments related to a first topic from the one or more strings of text, and assigning a sentiment score to each of the sentiments related to the first topic, where the sentiment score corresponds to a degree of positivity or negativity of a sentiment of the sentiments. The method further includes calculating an average sentiment score for the first topic based on the sentiment score for each of the sentiments related to the first topic, determining a percentile for the first topic based on a frequency of sentiments related to the first topic, where the percentile for the first topic is determined with respect to a maximum frequency of sentiments related to one or more other topics, and computing an X-Score based on the average sentiment score and the percentile of the first topic.
    Type: Application
    Filed: May 7, 2019
    Publication date: January 2, 2020
    Applicant: Language Logic d.b.a. Ascribe
    Inventors: Rick Kieser, Charles Baylis, Serge Luyens