Tel Aviv, Israel

Arnon Mazza


 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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3 patents (USPTO):Explore Patents

Title: Arnon Mazza: Innovator in Automated Sentiment Analysis and Topic Detection

Introduction

Arnon Mazza is a notable inventor based in Tel Aviv, Israel. He has made significant contributions to the fields of automated sentiment analysis and topic detection, holding a total of 3 patents. His work focuses on enhancing machine learning models to better understand and classify human sentiment and topics in text.

Latest Patents

Mazza's latest patents include a "System and method for finetuning automated sentiment analysis." This invention involves a method and system that utilize a pretrained machine learning model to classify sentiments in utterances. The process includes receiving feedback to retrain the model, thereby improving its accuracy in sentiment classification.

Another significant patent is the "System and method of automatic topic detection in text." This invention outlines a method for extracting phrases from text documents and applying a word embedding neural network to generate topic labels. The approach aims to enhance the relevance of topic detection in various business domains.

Career Highlights

Throughout his career, Arnon Mazza has worked with several prominent companies, including Genesys Cloud Services, Inc. and Greeneden U.S. Holdings II, LLC. His experience in these organizations has contributed to his expertise in developing innovative solutions in the tech industry.

Collaborations

Mazza has collaborated with notable professionals in his field, including Eyal Orbach and Avraham Faizakof. These partnerships have likely enriched his work and expanded the impact of his inventions.

Conclusion

Arnon Mazza is a distinguished inventor whose work in automated sentiment analysis and topic detection has paved the way for advancements in machine learning applications. His contributions continue to influence the tech landscape, showcasing the importance of innovation in understanding human communication.

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