This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Apple Inc.. Active years: 2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015
Title: Scott Park Manley: Innovator in Sentiment Detection Technology
Introduction
Scott Park Manley is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of sentiment analysis, particularly through his innovative patent that addresses the complexities of measuring sentiments on social networks. His work aims to enhance the understanding of public opinion and individual sentiments in a digital age.
Latest Patents
Scott Park Manley holds a patent titled "Systems and methods for sentiment detection, measurement, and normalization over social networks." This patent proposes a novel approach that enables the detection, measurement, aggregation, and normalization of sentiments expressed by users regarding specific events or topics on social networks. The technology ensures that the normalized sentiments accurately reflect the general public's feelings, while also allowing for individual user sentiments to be contextualized against a baseline sentiment.
Career Highlights
Scott is currently employed at Apple Inc., where he continues to develop and refine technologies that enhance user experience and engagement. His work at Apple has positioned him as a key player in the intersection of technology and social interaction, focusing on how sentiments can be effectively measured and utilized.
Collaborations
Scott Park Manley collaborates with Rishab Aiyer Ghosh, a fellow innovator in the field. Together, they explore new methodologies and technologies that can further advance sentiment analysis and its applications in various sectors.
Conclusion
Scott Park Manley's contributions to sentiment detection technology represent a significant advancement in understanding public and individual sentiments in social networks. His innovative approach not only enhances the accuracy of sentiment measurement but also provides valuable insights into user engagement.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
