This inventor holds 2 USPTO granted patents. Top assignee: Salesforce Com, Inc.. Active years: 2018-2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2018-2019
Title: Innovations of David Campbell
Introduction
David Campbell is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning, particularly in sentiment analysis. With a total of 2 patents, Campbell's work focuses on enhancing the accuracy and reliability of sentiment models.
Latest Patents
One of David Campbell's latest patents is titled "Avoiding sentiment model overfitting in a machine language model." This patent provides techniques for preventing overfitting in sentiment models. It outlines a method for updating a current list of keywords to create a proposed list of keywords in a new sentiment model. The patent describes how machine-generated sentiment results can be used to identify model overfitting without altering the existing set of keywords. Furthermore, the proposed set of keywords can be edited, and when overfitting is not detected, the current list can be replaced by the proposed list.
Career Highlights
David Campbell is currently employed at Salesforce.com, Inc., where he applies his expertise in machine learning and sentiment analysis. His innovative approaches have contributed to the development of advanced technologies within the company.
Collaborations
Some of David's notable coworkers include Michael Jones and Scott Enman, who collaborate with him on various projects at Salesforce.com, Inc.
Conclusion
David Campbell's work in the field of machine learning and sentiment analysis showcases his innovative spirit and dedication to improving technology. His patents reflect a commitment to advancing the understanding and application of sentiment models.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
