A Corpus-based Analysis of Asean’s SustainableDevelopment Discourse: Implications forKnowledge Management, AI, and UrbanInformation Systems in Bangkok, Thailand

Abstract

This study examines how ASEAN integrates sustainable development values into its policies and actions, with a particular focus on AI-driven knowledge management and information systems in Bangkok, Thailand. Natural Language Processing (NLP) techniques, including preprocessing, entity identification, and sentiment analysis, were employed to analyse over one million samples from government documents, articles, and social media posts. The AntConc tool was utilised to identify key terms such as “sustainability” and “resilience.” The findings suggest that ASEAN’s communication strategies align with global knowledge management standards, emphasising long-term cooperation and participation—core values of ASEAN’s sustainable development agendas, particularly in AI-enhanced systems and local policies such as smart cities and climate change adaptation in Bangkok. The study highlights ASEAN’s multifaceted approach, which balances economic, environmental, and social factors. ASEAN member states collaborate to develop and implement AI-driven solutions that facilitate efficient and sustainable development. Future research should examine how language strategies across ASEAN countries influence knowledge management and information systems and assess the outcomes and implications of these strategies for stakeholders.