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 |
| 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 |
Documentation:
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