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043 |an-cn---
0861 |aCS11-522/2024-1-5E-PDF
1001 |aOgunnoiki, Oladayo, |eauthor.
24510|aAutomated document analysis for physical flow account of plastic material / |cby Oladayo Ogunnoiki and Alexandre Istrate.
2461 |iAt head of title: |aProceedings of Statistics Canada Symposium 2024 : |bthe future of official statistics
264 1|a[Ottawa] : |bStatistics Canada = Statistique Canada, |cSeptember 8, 2025.
300 |a1 online resource (8 unnumbered pages) : |billustrations.
336 |atext|btxt|2rdacontent
337 |acomputer|bc|2rdamedia
338 |aonline resource|bcr|2rdacarrier
4901 |a[Statistics Canada international symposium series : proceedings], |x1709-8211
500 |aTitle from cover.
500 |aIssued also in French under title: Analyse automatisée des documents pour le Compte des flux physiques des matières plastiques.
504 |aIncludes bibliographical references.
5203 |a"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].
650 0|aMachine learning.
650 0|aInformation storage and retrieval systems|xPlastics industry and trade.
650 0|aEnvironmental economics|zCanada.
7102 |aStatistics Canada, |eissuing body.
77508|tAnalyse automatisée des documents pour le Compte des flux physiques des matières plastiques / |w(CaOODSP)9.966417
830#0|aStatistics Canada international symposium series - proceedings,|x1709-8211|w(CaOODSP)9.505681
85640|qPDF|s475 KB|uhttps://publications.gc.ca/collections/collection_2026/statcan/11-522-x/CS11-522-2024-1-5-eng.pdf
986 |a11-522-X