Patents by Inventor Todd Paterson

Todd Paterson 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).

  • Patent number: 10546235
    Abstract: Sentiment analyzer systems may include feedback analytics servers configured to receive and analyze feedback data from various client devices. Feedback data may be received and analyzed to determine feedback context and sentiment scores. In some embodiments, natural language processing neural networks may be used to determine sentiment scores for the feedback data. Feedback data also may be grouped into feedback aggregations based on context, and sentiment scores may be calculated for each feedback aggregation. Sentiment analyzer outputs and corresponding output devices may be determined based on the sentiment scores and feedback contexts.
    Type: Grant
    Filed: April 13, 2016
    Date of Patent: January 28, 2020
    Assignee: Pearson Education, Inc.
    Inventors: Christopher Moudy, Todd Paterson, Kevin Berns
  • Publication number: 20160300135
    Abstract: Sentiment analyzer systems may include feedback analytics servers configured to receive and analyze feedback data from various client devices. Feedback data may be received and analyzed to determine feedback context and sentiment scores. In some embodiments, natural language processing neural networks may be used to determine sentiment scores for the feedback data. Feedback data also may be grouped into feedback aggregations based on context, and sentiment scores may be calculated for each feedback aggregation. Sentiment analyzer outputs and corresponding output devices may be determined based on the sentiment scores and feedback contexts.
    Type: Application
    Filed: April 13, 2016
    Publication date: October 13, 2016
    Inventors: Christopher Moudy, Todd Paterson, Kevin Berns
  • Patent number: 9336268
    Abstract: Sentiment analyzer systems may include feedback analytics servers configured to receive and analyze feedback data from various client devices. Feedback data may be received and analyzed to determine feedback context and sentiment scores. In some embodiments, natural language processing neural networks may be used to determine sentiment scores for the feedback data. Feedback data also may be grouped into feedback aggregations based on context, and sentiment scores may be calculated for each feedback aggregation. Sentiment analyzer outputs and corresponding output devices may be determined based on the sentiment scores and feedback contexts.
    Type: Grant
    Filed: April 8, 2015
    Date of Patent: May 10, 2016
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Christopher Moudy, Todd Paterson, Kevin Berns