DisasterAlert: Disaster Alert and Sentiment Analysis
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.
| Version: | 1.0.0 |
| 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) |
| Published: | 2025-07-21 |
| DOI: | 10.32614/CRAN.package.DisasterAlert |
| Author: | Hossein Hassani [aut], Nadejda Komendantova [aut], Leila Marvian Mashhad [aut, cre] |
| Maintainer: | Leila Marvian Mashhad <Leila.marveian at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | DisasterAlert results |
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