Package: WeatherSentiment 1.0

WeatherSentiment: Comprehensive Analysis of Tweet Sentiments and Weather Data

A comprehensive suite of functions for processing, analyzing, and visualizing textual data from tweets is offered. Users can clean tweets, analyze their sentiments, visualize data, and examine the correlation between sentiments and environmental data such as weather conditions. Main features include text processing, sentiment analysis, data visualization, correlation analysis, and synthetic data generation. Text processing involves cleaning and preparing tweets by removing textual noise and irrelevant words. Sentiment analysis extracts and accurately analyzes sentiments from tweet texts using advanced algorithms. Data visualization creates various charts like word clouds and sentiment polarity graphs for visual representation of data. Correlation analysis examines and calculates the correlation between tweet sentiments and environmental variables such as weather conditions. Additionally, random tweets can be generated for testing and evaluating the performance of analyses, empowering users to effectively analyze and interpret 'Twitter' data for research and commercial purposes.

Authors:Andriette Bekker [aut], Mohammad Arashi [aut], Leila Marvian Mashhad [aut, cre], Priyanka Nagar [aut]

WeatherSentiment_1.0.tar.gz
WeatherSentiment_1.0.zip(r-4.5)WeatherSentiment_1.0.zip(r-4.4)WeatherSentiment_1.0.zip(r-4.3)
WeatherSentiment_1.0.tgz(r-4.4-any)WeatherSentiment_1.0.tgz(r-4.3-any)
WeatherSentiment_1.0.tar.gz(r-4.5-noble)WeatherSentiment_1.0.tar.gz(r-4.4-noble)
WeatherSentiment_1.0.tgz(r-4.4-emscripten)WeatherSentiment_1.0.tgz(r-4.3-emscripten)
WeatherSentiment.pdf |WeatherSentiment.html
WeatherSentiment/json (API)

# Install 'WeatherSentiment' in R:
install.packages('WeatherSentiment', repos = c('https://leilamarvian.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 0.09 score 124 dependencies

Last updated 29 days agofrom:53bb11edd7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:corr_analysgenerate_tweetsprocess_tweetsentiment_analyssentiment_polarityword_cloud_tweet

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrdttenglishevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjaneaustenrjquerylibjsonliteknitrlabelinglatticelexiconlifecyclelubridatemagrittrMASSMatrixmemoisemgcvmgsubmimemodelrmunsellnlmeNLPopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrqdapRegexR6raggrappdirsRColorBrewerRcppreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrsentimentrslamSnowballCstringistringrsyssystemfontssyuzhettextcleantextshapetextshapingtibbletidyrtidyselecttidytexttidyversetimechangetinytextokenizerstzdbutf8uuidvctrsviridisLitevroomwithrwordcloudxfunxml2yamlzoo