00000cam 2200000zi 4500 9.966416 CaOODSP 20261001084428 m o d f cr cn||||||||| 261001e20250908onca ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- CS11-522/2024-1-5E-PDF Ogunnoiki, Oladayo, author. Automated document analysis for physical flow account of plastic material / by Oladayo Ogunnoiki and Alexandre Istrate. At head of title: Proceedings of Statistics Canada Symposium 2024 : the future of official statistics [Ottawa] : Statistics Canada = Statistique Canada, September 8, 2025. 1 online resource (8 unnumbered pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier [Statistics Canada international symposium series : proceedings], 1709-8211 Title from cover. Issued also in French under title: Analyse automatisée des documents pour le Compte des flux physiques des matières plastiques. Includes bibliographical references. "The Physical Flow Account for Plastic Material (PFAPM) aims to enhance environmental-economic analysis by tracking plastic material flows within the Canadian economy. To help streamline this complex process, the project leveraged advanced natural language processing (NLP) such as large language models (LLM) techniques to automate sector classification and summarize the impact of COVID-19 from company reports. By integrating machine learning models and retrieval-augmented generation (RAG) methods, the manual workload was significantly reduced, improving data analysis efficiency, and leading to higher quality insights"--Abstract, page [2]. Machine learning. Information storage and retrieval systems Plastics industry and trade. Environmental economics Canada. Statistics Canada, issuing body. Analyse automatisée des documents pour le Compte des flux physiques des matières plastiques / (CaOODSP)9.966417 Statistics Canada international symposium series - proceedings, 1709-8211 (CaOODSP)9.505681 PDF 475 KB https://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-5-eng.pdf 11-522-X