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Measuring firm sustainability using textual data
Finance has experienced a significant increase in studies tackling issues related to Sustainability in recent years. The majority of them rely on third-party ESG ratings which are diverse, not transparent, and lack standardization. Our project aims to use text-mining techniques to identify ESG dimensions in sustainability-related documents and offer an automatic measurement across the ESG dimensions. One objective of the generate text-based ESG scores will be then to establish correlations and trends between financial performances and Corporate Social Responsibility (CSR) programs.
Faculty Supervisor:
Gilles Caporossi
Student:
Partner:
Novisto
Discipline:
Computer science
Sector:
Information and cultural industries
University:
HEC Montréal
Program:
Accelerate
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