Package: WeatherSentiment
Type: Package
Version: 1.0
Title: Comprehensive Analysis of Tweet Sentiments and Weather Data
Authors@R: c(
      person(given = " Andriette",
        family = "Bekker",
        role = c("aut"),
        email = "andriette.bekker@up.ac.za"
        ),
      person(given = "Mohammad",
        family = "Arashi",
        role = c("aut"),
        email = "m_arashi_stat@yahoo.com"
        ),
      person(given = "Leila",
        family = "Marvian Mashhad",
        role = c("aut","cre"),
        email = "Leila.marveian@gmail.com"
        ),
      person(given = "Priyanka",
        family = "Nagar",
        role = c("aut"),
        email = "pnagar@sun.ac.za"
        )
    )	 	  
Description: 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.
License: GPL-3
Depends: R (>= 4.1.0), tidyverse, wordcloud, sentimentr
Imports: tidytext, ggplot2, stringr, data.table, RColorBrewer, tidyr
Suggests: dplyr, syuzhet
Maintainer: Leila Marvian Mashhad <Leila.marveian@gmail.com>
NeedsCompilation: no
Packaged: 2026-10-04 08:47:18 UTC; root
Author: Andriette Bekker [aut], Mohammad Arashi [aut], Leila Marvian
        Mashhad [aut, cre], Priyanka Nagar [aut]
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev make libharfbuzz-dev libicu-dev libjpeg-dev
        libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev
        libssl-dev libx11-dev zlib1g-dev
Repository: https://leilamarvian.r-universe.dev
Date/Publication: 2024-08-20 02:49:34 UTC
RemoteUrl: https://github.com/cran/WeatherSentiment
RemoteRef: HEAD
RemoteSha: 53bb11edd724cf4ab059b6a84fa388d6eddb931f