Lyndhurst, United Kingdom

Karl Long


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 12(Granted Patents)


Company Filing History:


Years Active: 2015-2021

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2 patents (USPTO):Explore Patents

Title: Innovations by Karl Long in Sentiment Analysis

Introduction

Karl Long is an accomplished inventor based in Lyndhurst, GB. He has made significant contributions to the field of sentiment analysis, with a focus on methods and apparatus that enhance the understanding of public sentiment through data analysis.

Latest Patents

Karl Long holds 2 patents related to sentiment analysis. His latest patents involve innovative methods for analyzing a corpus of statements, such as those from social media, to determine the sentiment expressed about various objects. The process identifies object-specific corpuses, which contain statements referring to the same object. For each statement, the polarity and intensity of sentiment are assessed. The net polarity and intensity measures are then utilized to graph the corpus in a two-dimensional space. This graphical representation allows for the comparison of brands, with each brand represented by an object-specific corpus. The analysis shows a strong correlation between net polarity and traditional survey-based techniques.

Career Highlights

Karl Long is currently employed at Netbase Solutions, Inc., where he continues to develop and refine his innovative approaches to sentiment analysis. His work has positioned him as a key figure in the field, contributing to advancements that benefit various industries.

Collaborations

Some of Karl's notable coworkers include Lisa Joy Rosner and Jens Erik Tellefsen. Their collaborative efforts have further enhanced the research and development of sentiment analysis technologies.

Conclusion

Karl Long's contributions to sentiment analysis through his patents and work at Netbase Solutions, Inc. highlight his role as an influential inventor in the field. His innovative methods continue to shape the way sentiment is analyzed and understood in today's data-driven world.

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