Detecting Patent Infringement in Stock Market Filings  using Natural Language Processing

Q: How many days will it take for my paper to be published?

The review time for papers is not fixed. However, if the paper is accepted and the author completes the processing charges formalities, the paper will be published within a few working days.

Q: I would like to receive a hard copy of the journal materials. Are there any additional charges?

You can log in to the author portal and pay 500 INR to receive the hard copy materials.

Amrutiya Urvish; Yash Singh; Annant Sharma; Rajshekhar Kumar; Dr. Chitra B. T.

Detecting Patent Infringement in Stock Market Filings using Natural Language Processing

Authors: Amrutiya Urvish, Yash Singh, Annant Sharma, Rajshekhar Kumar, Dr. Chitra B. T.

Unique Paper ID: 181816
Volume: 12
Issue: 1
PageNo: 5995-5999

Keywords: Patent infringement Indian patent law financial disclosures NLP semantic analysis Named Entity Recognition regulatory compliance claim analysis risk quantification.

Abstract:
Patent infringement in financial disclosures poses significant legal and economic risks. Companies must carefully navigate transparency requirements while protecting proprietary technologies. This paper presents an NLP-driven framework for proactively detecting potential patent infringements in stock market filings within the Indian context. We integrate detailed legal analysis, regulatory mandates, extensive discussion of infringement typologies, claim-interpretation techniques, risk quantification models, and best practices for disclosure drafting. Our approach leverages semantic similarity, Named Entity Recognition (NER), claim-chart style analysis, knowledge graphs, and explainable AI to surface high- risk disclosures. Comprehensive case studies, statistical insights on patent litigation trends in India, and guidance on mitigation strategies assist practitioners in implementing robust IP risk management in corporate compliance workflows.

Download article

email to a friend

Cite This Article

ISSN: 2349-6002
Volume: 12
Issue: 1
PageNo: 5995-5999

Detecting Patent Infringement in Stock Market Filings using Natural Language Processing

Available:https://ijirt.org/Article?manuscript=181816

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now