Tel Aviv, Israel

David Moyal

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: David Moyal: Innovator in Document Clustering and Keyword Extraction

Introduction

David Moyal is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of document processing through his innovative patent. His work focuses on enhancing the efficiency of document clustering and keyword extraction, which are essential in managing large volumes of data.

Latest Patents

David Moyal holds a patent for "Dynamic document clustering and keyword extraction." This patent describes systems, methods, and apparatuses designed to cluster a plurality of documents located in various local and remote systems and applications. The process involves generating preprocessed text for each document, determining a hash and a feature vector based on this text, and retrieving a set of clusters associated with hash lists and cumulative feature vectors. By comparing the document's hash to the cluster hash lists and assessing similarities between feature vectors, documents can be effectively associated with their respective clusters.

Career Highlights

David Moyal is currently associated with BigID Inc., a company that specializes in data privacy and protection. His role at BigID allows him to apply his innovative ideas in a practical setting, contributing to the advancement of technology in data management.

Collaborations

David has collaborated with notable colleagues, including Yehoshua Enuka and Nimrod Vax. Their teamwork has fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

David Moyal's contributions to document clustering and keyword extraction demonstrate his commitment to innovation in technology. His patent reflects a significant advancement in the way documents are processed and managed, showcasing his expertise and dedication to improving data handling systems.

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