Chicago, IL, United States of America

Saha Ankan

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 21(Granted Patents)


Company Filing History:


Years Active: 2014

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1 patent (USPTO):Explore Patents

Title: Saha Ankan - Innovator in Topic Evolution and Emergence

Introduction

Saha Ankan is a notable inventor based in Chicago, IL (US). He has made significant contributions to the field of data analysis and topic modeling. His innovative work focuses on inferring emerging and evolving topics in streaming text, which has important applications in various industries.

Latest Patents

Saha Ankan holds a patent for a method, system, and computer program product titled "Inferring emerging and evolving topics in streaming text." This patent describes a sophisticated approach to identify topic evolution and emergence within a set of documents. The method involves forming a group of matrices using text from the documents and analyzing these matrices to distinguish between evolving and emerging topics. The matrices include a first matrix identifying a multitude of words, a second matrix identifying various topics, and a third matrix detailing words associated with each topic. This innovative approach is particularly useful for analyzing streaming datasets, utilizing temporal regularizers to enhance the identification of topics.

Career Highlights

Saha Ankan is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM allows him to leverage his expertise in data analysis and machine learning to develop cutting-edge solutions. His contributions have been instrumental in advancing the understanding of topic dynamics in large datasets.

Collaborations

Saha Ankan has collaborated with several talented individuals in his field, including Arindam Banerjee and Shiva P Kasiviswanathan. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Saha Ankan is a pioneering inventor whose work in inferring topics in streaming text has the potential to transform data analysis practices. His contributions at IBM and collaborations with esteemed colleagues highlight his commitment to advancing technology and innovation.

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