The Application of TF‐IDF in the Research of Flood and Drought Disaster Defense System

Abstract This study explores the application potential of the TF‐IDF (Term Frequency‐Inverse Document Frequency) technique in the research of grassroots flood and drought disaster defense systems, aiming to optimize disaster management and prevention strategies through advanced text analytics. The paper begins by outlining issues prevalent in traditional grassroots defense systems, such as delayed warnings, misallocated resources, and insufficient public participation. It then proceeds to meticulously introduce the TF‐IDF method and its application in the standardization project of the Yuhang District's flood and drought defense system. By applying the TF‐IDF algorithm to data processing, the study extracts keywords and topics closely associated with disaster warning, risk management, and rescue operations. Through TF‐IDF analysis, key systems, critical matters, and essential content within grassroots defense frameworks are identified, leading to the proposition of a standardized achievement system for flood and drought defense: “one work checklist, three operational manuals, and a comprehensive emergency response plan.”As water and drought disaster scenarios become increasingly complex in the future, this TF‐IDF‐based analytical approach is poised to be a pivotal instrument in facilitating the modern transformation of disaster defense systems.