Climate Cognizance - natural language processing (NLP) techniques to analyze sustainability report

natural language processing (NLP) techniques to analyze sustainability report

1. Climate Cognizance Team EnemiesOfSyntax - Jay Jain

2. Abstract In a world increasingly focused on sustainability, understanding the contents and sentiments within annual sustainability reports of organizations becomes imperative. This study proposes a novel approach leveraging natural language processing (NLP) techniques to analyze and distill key insights from these reports. By combining sentence similarity analysis and sentiment analysis, we aim to uncover thematic practices, trends, and the balance of positive and negative information across various companies' reports. Goal The goal of this study is to provide actionable insights into the content and sentiment of sustainability reports, enabling organizations to enhance transparency, communication, and strategic decision-making. By identifying emerging themes and patterns, we aim to facilitate more effective reporting and contribute to the advancement of sustainable development practices.

3. Organisation CSR Reports Collected McD, IKEA, Toyota, Nestle, Uber, Lyft, BASF, Chevron, BP, ENI, MS, Repsol, Shell, Total, Walmart, Blackrock, Citi

4. DATA Sources

5. DATA Sources - CSR Reports

6. Methodology In a world increasingly focused on sustainability, understanding the contents and sentiments within annual sustainability reports of organizations becomes imperative. This study proposes a novel approach leveraging natural language processing (NLP) techniques to analyze and distill key insights from these reports. By combining sentence similarity analysis and sentiment analysis, we aim to uncover thematic practices, trends, and the balance of positive and negative information across various companies' reports. Fine-Tuned BERT SDG Goals model, baseline sentiment analysis model from Hugging Face

7. DEMO

8. DEMO

9. DEMO

10. DEMO

11. FUTURE SCOPE - CURRENT WORKFLOW

12. FUTURE SCOPE - RAG PROPOSED WORKFLOW

13. Thanks! Important Links PPT - Climate Cognizance Demo Streamlit Cloud - https://carbon-assessment.streamlit.app/ Cloudera AMP - http://cdsw.44.226.59.107.nip.io/ Github - https://github.com/Jay4Codes/Carbon-Assessment.git Data Sources OSDG Community Dataset (OSDG-CD) 2021 Sustainability Reporting In Focus ESG Matters ESG Matters II BlackRock ESG Integration Statement