Kanpur, India

Mayank Sharma

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Dell Products Inc.. Active years: 2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Mayank Sharma. Retrieved from https://idiyas.com/inventor/mayank-sharma-dxua3h4v

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Innovations by Mayank Sharma

Introduction

Mayank Sharma is a notable inventor based in Kanpur, India. He has made significant contributions to the field of sentiment analysis, particularly in processing unstructured text data. His innovative approach utilizes machine learning to enhance the understanding of sentiment in documents.

Latest Patents

Mayank Sharma holds a patent for "Sentiment analysis for aspect terms extracted from documents having unstructured text data." This invention involves an apparatus that includes at least one processing device configured to receive a query for sentiment analysis. It generates encodings to classify words in a document as aspect or non-aspect terms and determines attention weights for words surrounding a given aspect term. The processing device also generates a sentiment classification based on these weights and encodings, providing a comprehensive response to the query.

Career Highlights

Mayank currently works at Dell Products Inc., where he applies his expertise in machine learning and sentiment analysis. His work has contributed to advancements in how organizations interpret and analyze textual data.

Collaborations

He collaborates with talented individuals such as Ramakanth Kanagovi and Sumant Sahoo, enhancing the innovative environment at Dell Products Inc.

Conclusion

Mayank Sharma's contributions to sentiment analysis and his innovative patent demonstrate his commitment to advancing technology in the field of data processing. His work continues to influence how sentiment is understood in unstructured text data.

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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