MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541055356 A) filed by Amalan Mariajohn; Aditya Vardhan; and Arokiapeter Santhanam, Chennai, Tamil Nadu, on June 09 for 'automated duplicate submission detection and categorization system using textual similarity metrics.'
Inventor(s) include Amalan Mariajohn; Aditya Vardhan; and Arokiapeter Santhanam.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "A system and method are provided for identifying and categorizing duplicate or semantically similar textual submissions. The system receives a new submission comprising free-form text, retrieves existing submissions from a data store, and concatenates relevant textual fields. A term frequency-inverse document frequency (TF-IDF) model is applied to vectorize the content, and cosine similarity is computed between the new submission and existing records. Based on configurable thresholds, the submission is categorized using predefined tags. The system further includes a root cause suggestion module that analyzes issue context to infer likely causes, and a knowledge base linking mechanism for associating relevant internal documents. A regression detection component evaluates if the issue was previously resolved. The system operates without pre-labeled training data and integrates with relational databases. This approach facilitates automated triaging, improves diagnostic accuracy, and enhances vulnerability management efficiency."
Disclaimer: Curated by HT Syndication.
