Publicação
using machine learning techniques to analyze ESG reports: what machine learning can uncover in ESG reports to auton the European sustainability reporting standards
| datacite.subject.fos | Ciências Sociais::Economia e Gestão | |
| dc.contributor.advisor | Silva, Nuno André da | |
| dc.contributor.advisor | Wagenknech, Tobias | |
| dc.contributor.author | Rodel, Kevin | |
| dc.date.accessioned | 2026-03-31T11:09:01Z | |
| dc.date.available | 2026-03-31T11:09:01Z | |
| dc.date.issued | 2025-01-20 | |
| dc.date.submitted | 2025-01-20 | |
| dc.description.abstract | This work explores the application of natural language processing (NLP) to analyze Environmental, Social, and Governance (ESG) reports, addressing challenges in analyzing and benchmarking ESG efforts. The developed ESGAnalyzer extracts ESG topics and trends on a sectoral, industrial, and country level and the ESRSAnalyzer provides insights into the reporting of European Sustainability Reporting Standards (ESRS). Despite data constraints, the models achieved accuracies of 88% and 82%. The findings highlight variability in ESG practices, offering actionable benchmarks and insights, accelerating report analysis. By advancing these analytics, this study contributes to the understanding of ESG trends and theadaptation of ESRS regulation. | eng |
| dc.identifier.tid | 204133661 | |
| dc.identifier.uri | http://hdl.handle.net/10362/201937 | |
| dc.language.iso | eng | |
| dc.relation | UID/ECO/00124/2013 | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Environmental | |
| dc.subject | Social | |
| dc.subject | Governance (ESG) | |
| dc.subject | Sustainability | |
| dc.subject | Reporting | |
| dc.subject | Disclosure | |
| dc.subject | Benchmarking | |
| dc.subject | Corporate sustainability Reporting directive (CSRD) | |
| dc.subject | European Sustainability Standard reporting (ESRS) | |
| dc.subject | Machine learning (ML) | |
| dc.subject | BERT | |
| dc.subject | ESG BERT model | |
| dc.subject | Natural language processing (NLP) | |
| dc.title | using machine learning techniques to analyze ESG reports: what machine learning can uncover in ESG reports to auton the European sustainability reporting standards | eng |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Master’s degree in Business Analytics from the Nova School of Business and Economics |