Text Network Analysis-Based Decision Framework

This research paper describes a decision framework using natural language processing (NLP) and text network analysis (TNA) to integrate community narratives from informal settlements in Lusaka, Zambia, into flood-risk mapping and resilience planning.

• The researchers used natural language processing (NLP) and text network analysis (TNA) to analyze residents' narratives of flooding experiences in Lusaka, Zambia. This process was used to refine flood maps that were originally developed using global information system (GIS) datasets and global rainfall data.
• Through 'learning labs' with stakeholders focused on unplanned settlements in Lusaka, the most significant issue identified was the requirement for local government to be more inclusive and adaptive, ensuring community voices are better represented in decision-making.
• The authors assert that this co-creative, narrative-based methodology helps overcome barriers to evidence-based decision-making, such as the lack of usable information and the failure of disaster risk management systems to consider context-specific environmental risks and social vulnerability drivers.

APA

Stockholm Environment Institute (2025). Text Network Analysis-Based Decision Framework. https://www.sei.org/publications/text-network-analysis-based-decision-framework/

Chicago

Stockholm Environment Institute. Text Network Analysis-Based Decision Framework. 2025. https://www.sei.org/publications/text-network-analysis-based-decision-framework/.

Wikipedia

{{cite report |author=Stockholm Environment Institute |title=Text Network Analysis-Based Decision Framework |date=28 January 2025 |url=https://www.sei.org/publications/text-network-analysis-based-decision-framework/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{stockholmenvironmentinstitute2025text, author = {{Stockholm Environment Institute}}, title = {{Text Network Analysis-Based Decision Framework}}, institution = {Stockholm Environment Institute}, year = {2025}, month = jan, url = {https://www.sei.org/publications/text-network-analysis-based-decision-framework/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }