Chevy Chase, MD, United States of America

Vladimir Eidelman

This inventor holds 16 USPTO granted patents and 4 published patent applications. Top assignees: Fiscalnote, Inc., Other. Active years: 2019-2025.

USPTO Granted Patents = 16 

% Patents Active = 87.5

Average Co-Inventor Count = 3.7

ph-index = 3

Forward Citations = 33(Granted Patents)


Company Filing History:

goldMedal11 out of 11 
 
Fiscalnote, Inc.
 patents
silverMedal3 out of 834,411 
Other
 patents
where one patent can have more than one assignee

Years Active: 2019-2025

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16 patents (USPTO):Explore Patents

Title: Innovations of Vladimir Eidelman

Introduction

Vladimir Eidelman is a notable inventor based in Chevy Chase, MD, with a remarkable portfolio of 16 patents. His work primarily focuses on systems and methods that leverage technology to enhance policy adoption and advocacy campaigns. Eidelman's innovative contributions have made significant impacts in the fields of text analytics and machine learning.

Latest Patents

One of Eidelman's latest patents is titled "Systems and methods for predicting policy adoption." This invention involves a text analytics system that predicts whether a policy will be adopted by analyzing comments from individuals about a proposed policy. The system utilizes a processor to scrape information from the Internet, determine sentiment from comments, and apply an influence filter to assess the impact of each comment. The aggregate of these weighted comments helps in determining an indicator associated with the policy's adoption.

Another significant patent is "Use of machine-learning models in creating messages for advocacy campaigns." This system generates alerts for issues important to organizations while ensuring that advocacy campaigns are both relevant and successful. By maintaining a history of previous campaigns and their outcomes, the system employs a computational model to evaluate whether a new campaign should be initiated based on a score derived from various criteria.

Career Highlights

Eidelman has worked with FiscalNote, Inc., where he has contributed to the development of innovative solutions in policy analytics and advocacy. His expertise in machine learning and text analytics has positioned him as a leader in his field.

Collaborations

Throughout his career, Eidelman has collaborated with notable professionals, including Daniel Argyle and Brian Grom. These partnerships have further enhanced his ability to innovate and create impactful solutions.

Conclusion

Vladimir Eidelman's contributions to technology and innovation, particularly in policy adoption and advocacy, showcase his expertise and commitment to advancing these fields. His patents reflect a deep understanding of the intersection between technology and societal needs.

Profile summary based on public USPTO records.
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