New York, NY, United States of America

Smaranda Muresan

USPTO Granted Patents = 2 

Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2007-2024

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2 patents (USPTO):

Title: Smaranda Muresan: Innovator in Sentiment Analysis and Dictionary Generation

Introduction

Smaranda Muresan is a notable inventor based in New York, NY, who has made significant contributions to the fields of sentiment analysis and automated dictionary generation. With two patents to her name, she has developed innovative systems that enhance the way we process and analyze textual data.

Latest Patents

One of her latest patents is titled "Global segmenting and sentiment analysis based on granular opinion detection." This invention provides a service that analyzes documents from various applications to identify target entities and their associated sentiments. The system generates multiple levels of sentiment data and stores it in a segmented database, allowing clients to query for detailed sentiment insights.

Another significant patent is the "System and method of generating dictionary entries." This invention automates the process of creating a dictionary from full-text articles by extracting term-definition pairs and storing them in a database. The system utilizes various processing modules to efficiently identify and compile these entries, enhancing the accessibility of information.

Career Highlights

Smaranda has worked with prestigious organizations such as Columbia University and Amazon Technologies, Inc. Her experience in these institutions has allowed her to refine her skills and contribute to groundbreaking projects in her field.

Collaborations

Throughout her career, Smaranda has collaborated with esteemed colleagues, including Judith L Klavans and Sunil Mallya Kasaragod. These partnerships have fostered an environment of innovation and creativity, leading to the development of her impactful inventions.

Conclusion

Smaranda Muresan's work in sentiment analysis and dictionary generation showcases her innovative spirit and dedication to advancing technology. Her contributions continue to influence the way we understand and process language in the digital age.

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