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.


Reference manual

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install.packages("DisasterAlert")

1.0.0 by Leila Marvian Mashhad, a year ago


Browse source code at https://github.com/cran/DisasterAlert


Authors: Hossein Hassani [aut] , Nadejda Komendantova [aut] , Leila Marvian Mashhad [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports methods, tidyverse, ggplot2, leaflet, wordcloud, textdata, tidytext, quanteda, tidyr, plotly, htmlwidgets, RColorBrewer, dplyr, stringr, scales, DT

Suggests rmarkdown, testthat


See at CRAN