Machine Learning Classifier for Tracking Innovation Trends in Scientific Literature

Machine learning-based classifier designed to analyze and tag scientific articles from the Web of Science repository.

Technologies used

Implemented in cooperation with University of Warsaw, Faculty of Economic Sciences.
Sophisticated Article Tagging System: At the heart of our project is a machine learning-based classifier designed to analyze and tag scientific articles from the Web of Science repository. By leveraging the International Patent Classification (IPC) system, our classifier not only categorizes articles with unparalleled precision but also identifies the nuances of innovation trends reflected within academic research.
Leveraging Patent Insights for Training: The classifier's intelligence is honed on a carefully curated dataset comprising patent abstracts, ensuring it captures the essence of innovation across various fields.
This was several months worth of work for a team of software developers, machine learning experts, and economists.

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Metadata Management for Enterprises

Creation and development of knowledge models, such as taxonomies and ontologies, that reflect inner structures of organizations and their specific domains.

Technologies used