Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing

Ananya Pareek; Parchi Kashyap; Aditi Mahato; Rahi Shukla; Xuyang Hu; Lu Wang; Bharati Rathore

doi:10.1007/978-981-96-3247-3_4

Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing

Ananya Pareek, Parchi Kashyap, Aditi Mahato, Rahi Shukla, Xuyang Hu^*, Lu Wang, Bharati Rathore

^*Corresponding author for this work

Faculty of Business and Creative Industries

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We live in the age of invention where changes are the only constant in people's life, along with the thought of making lives easier and better. In this age of GenAI, where ChatGPT has taken the world by the storm, we often have been seeing far more advancements in this field, seeking to make lives easier both for individuals and businesses. Combining NLP and ML approaches is another technique used that has proven useful earlier. In this paper, we have used them for proposing to create an ESG (Environmental, Social, and Governance)-based chatbot which will map the parameters and add on to the scoring system metrics of an institution or organization. The goal of this paper is to make a skeleton framework fit enough to be used for the implementation of institutions in a more efficient and precise manner by the ESG. This research also talks about the benefits of the use of a chatbot-based ESG score system, including improved efficiency and accuracy thus providing a detailed description of the development process, representing an innovative and promising approach for responsible and sustainable business practices.

Original language	English
Title of host publication	Proceedings of Fourth International Conference on Computing and Communication Networks
Subtitle of host publication	ICCCN 2024, Volume 5
Editors	Akshi Kumar, Abhishek Swaroop, Pencham Shukla
Publisher	Springer
Pages	41-52
ISBN (Electronic)	978-981-96-3247-3
ISBN (Print)	978-981963246-6
DOIs	https://doi.org/10.1007/978-981-96-3247-3_4
Publication status	E-pub ahead of print - 25 May 2025

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Access to Document

10.1007/978-981-96-3247-3_4

Cite this

Pareek, A., Kashyap, P., Mahato, A., Shukla, R., Hu, X., Wang, L., & Rathore, B. (2025). Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing. In A. Kumar, A. Swaroop, & P. Shukla (Eds.), Proceedings of Fourth International Conference on Computing and Communication Networks: ICCCN 2024, Volume 5 (pp. 41-52). (Lecture Notes in Networks and Systems). Springer. Advance online publication. https://doi.org/10.1007/978-981-96-3247-3_4

Pareek, Ananya ; Kashyap, Parchi ; Mahato, Aditi et al. / Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing. Proceedings of Fourth International Conference on Computing and Communication Networks: ICCCN 2024, Volume 5. editor / Akshi Kumar ; Abhishek Swaroop ; Pencham Shukla. Springer, 2025. pp. 41-52 (Lecture Notes in Networks and Systems).

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abstract = "We live in the age of invention where changes are the only constant in people's life, along with the thought of making lives easier and better. In this age of GenAI, where ChatGPT has taken the world by the storm, we often have been seeing far more advancements in this field, seeking to make lives easier both for individuals and businesses. Combining NLP and ML approaches is another technique used that has proven useful earlier. In this paper, we have used them for proposing to create an ESG (Environmental, Social, and Governance)-based chatbot which will map the parameters and add on to the scoring system metrics of an institution or organization. The goal of this paper is to make a skeleton framework fit enough to be used for the implementation of institutions in a more efficient and precise manner by the ESG. This research also talks about the benefits of the use of a chatbot-based ESG score system, including improved efficiency and accuracy thus providing a detailed description of the development process, representing an innovative and promising approach for responsible and sustainable business practices.",

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Pareek, A, Kashyap, P, Mahato, A, Shukla, R, Hu, X, Wang, L & Rathore, B 2025, Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing. in A Kumar, A Swaroop & P Shukla (eds), Proceedings of Fourth International Conference on Computing and Communication Networks: ICCCN 2024, Volume 5. Lecture Notes in Networks and Systems, Springer, pp. 41-52. https://doi.org/10.1007/978-981-96-3247-3_4

Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing. / Pareek, Ananya; Kashyap, Parchi; Mahato, Aditi et al.
Proceedings of Fourth International Conference on Computing and Communication Networks: ICCCN 2024, Volume 5. ed. / Akshi Kumar; Abhishek Swaroop; Pencham Shukla. Springer, 2025. p. 41-52 (Lecture Notes in Networks and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Pareek A, Kashyap P, Mahato A, Shukla R, Hu X, Wang L et al. Designing and Applying an Embedded Chatbot-Based ESG Scoring System Using Intelligent Natural Language Processing. In Kumar A, Swaroop A, Shukla P, editors, Proceedings of Fourth International Conference on Computing and Communication Networks: ICCCN 2024, Volume 5. Springer. 2025. p. 41-52. (Lecture Notes in Networks and Systems). Epub 2025 May 25. doi: 10.1007/978-981-96-3247-3_4