Deep Learning with Big Data for Innovation Acceleration

XLScout uses Natural Language Processing (NLP), Machine Learning (ML), and Innovation/Scientific principles to deliver actionable intelligence and accelerate innovation by analyzing large patent and research databases. The company is eliminating the pain of manually going through document and quickly providing relevant information to support data-driven strategic decisions. Presently XLScout hosts a data vault of over 130 million patents and 200+ million research publications occupying approximately 8TB of storage. Effectively searching these documents is time-consuming and it commonly requires advanced strategies that a novice searcher may not be familiar with. This project will develop NLP-base solutions to better understand user’s queries, extract and aggregate semantically relevant patent and research data. To assist with navigation through a massive patent landscape, the patents will be classified into automatically created or user-specified categories. Furthermore, the company seeks to provide a sc

Faculty Supervisor:

Katarina Grolinger;Kalpdrum Passi;Babatunde Giwa

Student:

Partner:

XLSCOUT

Discipline:

Life Sciences

Sector:

Information and cultural industries

University:

Laurentian University; Loyalist College; The University of Western Ontario

Program: