Ghaziabad, India

Siddhartha Asthana

This inventor holds 6 USPTO granted patents and 18 published patent applications. Top assignees: Mastercard International Incorporated, Optum Technology, Inc.. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Siddhartha Asthana. Retrieved from https://idiyas.com/inventor/siddhartha-asthana

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 6 

% Patents Active = 100.0

Average Co-Inventor Count = 6.8

ph-index = 1

Forward Citations = 3(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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6 patents (USPTO):Explore Patents

Title: Siddhartha Asthana: Innovator and Patent Holder in Natural Language Processing

Introduction:

Siddhartha Asthana, a brilliant inventor and researcher based in Ghaziabad, India, has made significant contributions to the field of natural language processing through his innovative patents. With his expertise and dedication, he has developed novel techniques for extracting joint topic-sentiment models from text inputs, aiming to enhance the efficiency and effectiveness of natural language processing systems. Let's delve deeper into Siddhartha Asthana's latest patents, career highlights, collaborations, and his notable contributions to the field.

Latest Patents:

Siddhartha Asthana has been granted a total of three patents, with his latest patents focusing on advanced techniques for natural language processing systems. In his patent titled "Extracting Joint Topic-Sentiment Models from Text Inputs," Asthana addresses the need for more effective and efficient natural language processing systems for short texts. The system he proposes involves the generation of refined term-topic correlation data objects and refined document-sentiment correlation data objects based on user-defined inputs, ultimately leading to improved topic-sentiment detection.

In his second patent, "Natural Language Processing Using Joint Topic-Sentiment Detection," Asthana offers solutions for improving natural language processing systems holistically. This patent outlines a system that determines term-topic correlation data objects, document-topic correlation data objects, and document-sentiment correlation data objects, resulting in enhanced topic and sentiment detection.

Career Highlights:

Siddhartha Asthana is a highly accomplished inventor known for his contributions in the field of natural language processing. He currently works at Optum Technology, Inc., a renowned technology company. Asthana's remarkable patents showcase his deep understanding of complex algorithms and data analysis techniques. His expertise has paved the way for advancements in natural language processing, proving his dedication to improving the efficiency and accuracy of these systems.

Collaborations:

Throughout his career, Siddhartha Asthana has had the opportunity to collaborate with several talented individuals in the field of technology. Notably, he has worked alongside esteemed coworkers such as Suman Roy and Ashish Chaturvedi, who have also made significant contributions to the industry. Their collective expertise and collaboration have enriched the development of innovative solutions in natural language processing.

Conclusion:

Siddhartha Asthana's patents and contributions to the field of natural language processing have solidified his position as an exceptional innovator. His latest inventions, focused on extracting joint topic-sentiment models from text inputs and enhancing natural language processing systems, exhibit his commitment to addressing the industry's needs. As he continues to push the boundaries of technology, Siddhartha Asthana showcases his talent, creativity, and dedication to improving the efficiency and effectiveness of natural language processing systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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