The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.
| Version: | 1.0 |
| Depends: | R (≥ 4.1.0), tidyverse, wordcloud, sentimentr |
| Imports: | tidytext, ggplot2, stringr, data.table, RColorBrewer, tidyr |
| Suggests: | dplyr, syuzhet |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.WeatherSentiment |
| Author: | Andriette Bekker [aut], Mohammad Arashi [aut], Leila Marvian Mashhad [aut, cre], Priyanka Nagar [aut] |
| Maintainer: | Leila Marvian Mashhad <Leila.marveian at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WeatherSentiment results |
| Reference manual: | WeatherSentiment.pdf |
| Package source: | WeatherSentiment_1.0.tar.gz |
| Windows binaries: | r-devel: WeatherSentiment_1.0.zip, r-release: WeatherSentiment_1.0.zip, r-oldrel: WeatherSentiment_1.0.zip |
| macOS binaries: | r-release (arm64): WeatherSentiment_1.0.tgz, r-oldrel (arm64): WeatherSentiment_1.0.tgz, r-release (x86_64): WeatherSentiment_1.0.tgz, r-oldrel (x86_64): WeatherSentiment_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=WeatherSentiment to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.