This inventor holds 1 USPTO granted patent and 9 published patent applications. Top assignee: Panasonic Intellectual Property Managment Co., Ltd.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Debdeep Paul: Innovator in Textual Feature Generation
Introduction
Debdeep Paul is a notable inventor based in Singapore, SG. He has made significant contributions to the field of machine learning and natural language processing. His innovative work focuses on generating textual features that enhance the analysis of text documents.
Latest Patents
Debdeep Paul holds a patent for "Methods and systems for generating textual features." This patent describes a method for generating textual features corresponding to text documents from a raw dataset. The process includes preprocessing the text documents and determining topic probability scores (TPS) and confidence scores (CS) using unsupervised and supervised machine learning models, respectively. The combination of TPS and CS is utilized to generate a compound distribution score (CDS), which forms a comprehensive representation of the output of the machine learning models. The determined TPS, CS, and CDS are then employed to generate a set of textual features, which serve as independent variables for a forecasting model. He has 1 patent to his name.
Career Highlights
Debdeep Paul is currently associated with Panasonic Intellectual Property Management Co., Ltd. His role involves leveraging his expertise in machine learning to develop innovative solutions that address complex challenges in text analysis.
Collaborations
Some of his notable coworkers include Gayathri Saranathan and Nway Nway Aung. Their collaborative efforts contribute to the advancement of technology in their respective fields.
Conclusion
Debdeep Paul's work in generating textual features represents a significant advancement in the field of machine learning. His innovative methods and systems are paving the way for more effective text analysis and forecasting models.