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2025 Vol.16, Issue 2 Preview Page

General Article

Neuroemotion-informed sustainable approach using BERT embedding and lightGBM for emotion-aware smart system
Pratibha Verma1*
,
Amandeep Kaur2
,
Meenu Khurana3
,
Deepali Gupta2
1Research Scholar, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
2Professor, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India
3Professor, Chitkara University School of Engineering and Technology, Chitkara University, Baddi, Himachal Pradesh, India
*Corresponding Author
30 June 2025. pp. 220-233
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Abstract

This study introduces the neuroEmotion Classifier, a Sustainable, Smart System-oriented framework for emotion classification in social media text, with applications in urban resilience, crisis management, and community well-being. Designed to analyze tweets related to crises, conflicts, and tragedies, the system maps emotional states to neuroemotion processes, enabling emotion-aware urban analytics for real-time monitoring of public sentiment in high-stress scenarios. By integrating a novel emotion-neuroemotion taxonomy, a specialized lexicon, and semi-automated annotation (Cohen’s kappa = 0.85), the framework bridges linguistic patterns with neurobiological insights to support data-driven urban decision-making in urban planning and public policy. Evaluated across multiple machine learning pipelines, the sustainable emotion detection Smart Urban System leverages LightGBM with Neuroemotion-Informed BERT embedding to achieve 98.57% accuracy, 0.9855 F1 score, and 1.0 AUC, outperforming traditional representations like TF-IDF and Word2Vec. While BERT-based models require greater computational resources, their superior performance justifies their use in urban smart infrastructure for emotion-aware applications, striking a balance between precision and scalability. This work establishes a foundation for deploying Neuroemotion-aware emotion classifiers in smart urban systems, enhancing urban governance, public safety protocols, life cycle aware urban design, and adaptive city planning through contextually rich social media analysis.

Keywords
emotion detection
framework
sustainable emotion detection
hinglish
smart system
classification
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Information
  • Publisher :Sustainable Building Research Center (ERC) Innovative Durable Building and Infrastructure Research Center
  • Publisher(Ko) :건설구조물 내구성혁신 연구센터
  • Journal Title :International Journal of Sustainable Building Technology and Urban Development
  • Volume : 16
  • No :2
  • Pages :220-233
  • Received Date : 2025-05-10
  • Accepted Date : 2025-06-13
  • DOI :https://doi.org/10.22712/susb.20250014
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