Package: DisasterAlert 1.0.0
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.
Authors:
DisasterAlert_1.0.0.tar.gz
DisasterAlert_1.0.0.zip(r-4.7)DisasterAlert_1.0.0.zip(r-4.6)DisasterAlert_1.0.0.zip(r-4.5)
DisasterAlert_1.0.0.tgz(r-4.6-any)DisasterAlert_1.0.0.tgz(r-4.5-any)
DisasterAlert_1.0.0.tar.gz(r-4.7-any)DisasterAlert_1.0.0.tar.gz(r-4.6-any)
DisasterAlert_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DisasterAlert/json (API)
| # Install 'DisasterAlert' in R: |
| install.packages('DisasterAlert', repos = c('https://leilamarvian.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:e5e1320558. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 197 | ||
| source / vignettes | OK | 226 | ||
| linux-release-x86_64 | OK | 195 | ||
| macos-release-arm64 | OK | 131 | ||
| macos-oldrel-arm64 | OK | 135 | ||
| windows-devel | OK | 128 | ||
| windows-release | OK | 138 | ||
| windows-oldrel | OK | 140 | ||
| wasm-release | OK | 150 |
Exports:analyze_disaster_sentimentcalculate_sentiment_statsclean_disaster_textcreate_interactive_plotscreate_sentiment_mapgenerate_tweetsgenerate_word_cloudsplot_sentiment_distributionprocess_tweet
Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclassclassIntclicliprconflictedcpp11crayoncrosstalkcurldata.tableDBIdbplyrdigestdplyrDTdtplyre1071evaluatefarverfastmapfastmatchfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshtmlwidgetshttridsisobandISOcodesjaneaustenrjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclelubridatemagrittrMASSMatrixmemoisemimemodelropensslotelpillarpkgconfigplotlypngprettyunitsprocessxprogresspromisesproxypspurrrquantedaR6raggrappdirsrasterRColorBrewerRcppreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvests2S7sassscalesselectrsfSnowballCspstopwordsstringistringrsyssystemfontsterratextdatatextshapingtibbletidyrtidyselecttidytexttidyversetimechangetinytextokenizerstzdbunitsutf8uuidvctrsviridisLitevroomwithrwkwordcloudxfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Analyze Disaster Sentiment | analyze_disaster_sentiment |
| Calculate Sentiment Statistics | calculate_sentiment_stats |
| Clean Disaster Text | clean_disaster_text |
| Create Interactive Plots | create_interactive_plots |
| Create Interactive Sentiment Map | create_sentiment_map |
| Generate Random Tweets | generate_tweets |
| Generate Word Clouds from Tweets | generate_word_clouds |
| Plot Sentiment Distribution | plot_sentiment_distribution |
| Preprocess Tweets for Sentiment Analysis | process_tweet |
