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Automated document analysis for physical flow account of plastic material / by Oladayo Ogunnoiki and Alexandre Istrate.: CS11-522/2024-1-5E-PDF

"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].

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.966416&sl=0

Publication information
Department/Agency
  • Statistics Canada, issuing body.
TitleAutomated document analysis for physical flow account of plastic material / by Oladayo Ogunnoiki and Alexandre Istrate.
Variant title
  • At head of title: Proceedings of Statistics Canada Symposium 2024 : the future of official statistics
Series title
  • [Statistics Canada international symposium series : proceedings], 1709-8211
Publication typeMonograph - View Master Record
Language[English]
Other language editions[French]
FormatDigital text
Electronic document
Note(s)
  • 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.
Publishing information
  • [Ottawa] : Statistics Canada = Statistique Canada, September 8, 2025.
Author / Contributor
  • Ogunnoiki, Oladayo, author.
Description1 online resource (8 unnumbered pages) : illustrations.
Catalogue number
  • CS11-522/2024-1-5E-PDF
Departmental catalogue number11-522-X
Subject terms
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