Explainable Automatic Industrial Carbon Footprint Estimation From Bank Transaction Classification Using Natural Language Processing

Explainable Automatic Industrial Carbon Footprint Estimation From Bank Transaction Classification Using Natural Language Processing

Concerns about the effect of greenhouse gases have motivated the development of certification protocols to quantify the industrial carbon footprint (cf). These protocols are manual, work-intensive, and expensive. All of the above have led to a shift towards automatic data-driven approaches to estima...

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Bibliographic Details
Main Authors: Jaime Gonzalez-Gonzalez, Silvia Garcia-Mendez, Francisco De Arriba-Perez, Francisco J. Gonzalez-Castano, Oscar Barba-Seara
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Explainable artificial intelligence
machine learning
natural language processing
carbon footprint
banking
Online Access:https://ieeexplore.ieee.org/document/9968254/

Internet

https://ieeexplore.ieee.org/document/9968254/

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