Disaster Alert and Sentiment Analysis R package DisasterAlert version 1.0.0 By systematically aggregating and processing textual reports from earthquakes, floods, storms, wildfires, and other natural disasters, the framework enables a holistic assessment of crisis narratives. Intelligent cleaning and normalization techniques transform raw commentary into structured data, ensuring precise extraction of disaster-specific insights. Collective sentiments of affected communities are quantitatively scored and qualitatively categorized, providing a multifaceted view of societal responses under duress. Interactive geographic maps and temporal charts illustrate the evolution and spatial dispersion of emotional reactions and impact indicators. Software Depends: R (>= 4.1.0) Imports: methods, tidyverse, ggplot2, leaflet, wordcloud, textdata,tidytext, quanteda, tidyr, plotly, htmlwidgets, RColorBrewer, dplyr, stringr, scales,DT Suggests: rmarkdown, testthat (>= 3.0.0) Leila Marvian Mashhad <Leila.marveian@gmail.com> Comprehensive R Archive Network (CRAN) Hossein Hassani [aut], Nadejda Komendantova [aut], Leila Marvian Mashhad [aut, cre] GPL-3 2025-07-21 application/tgz https://CRAN.R-project.org/package=DisasterAlert doi:10.32614/CRAN.package.DisasterAlert