{"id":20356584,"url":"https://github.com/madhurimarawat/r-projects","last_synced_at":"2025-07-17T16:03:25.941Z","repository":{"id":171966586,"uuid":"648658969","full_name":"madhurimarawat/R-Projects","owner":"madhurimarawat","description":"This repository contains the projects that I made in the R programming language.","archived":false,"fork":false,"pushed_at":"2023-09-06T12:31:28.000Z","size":147,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-05T23:43:31.826Z","etag":null,"topics":["data-visualization","r","twitter-sentimental-analysis"],"latest_commit_sha":null,"homepage":"","language":"Rich Text 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Text Format","readme":"# R-Projects\nThis repository contains the projects that I made in the R programming language.\u003cbr\u003e\u003cbr\u003e\n![r_programming_language_abstract_programming_background_thinkstock_3x2_1200x800-100703503-large](https://github.com/madhurimarawat/R-Projects/assets/105432776/9a06f25b-3fa1-42e1-84e9-aee50f167fe7)\n\n# About R Programming\n\n--\u003e R is an open-source programming language that is widely used as a statistical software and data analysis tool.\u003cbr\u003e\u003cbr\u003e\n--\u003e R generally comes with the Command-line interface.\u003cbr\u003e\u003cbr\u003e\n--\u003e R is available across widely used platforms like Windows, Linux, and macOS.\u003cbr\u003e\u003cbr\u003e\n--\u003e R also provides rich Library support.\u003cbr\u003e\u003cbr\u003e\n--\u003e To install R library this command is used-\u003cbr\u003e\n```\ninstall.packages(library_name)\n```\n---\n# Mode of Execution Used:  \u003cimg src=\"https://logos-download.com/wp-content/uploads/2020/06/RStudio_Logo.png\" title=\"R Studio\" alt=\"R Studio\" width=\"40\" height=\"40\"\u003e\n\u003ch2\u003eR\u003c/h2\u003e\n--\u003e Visit the official website: \u003ca href=\"https://www.r-project.org/\"\u003e \u003cimg src=\"https://github.com/devicons/devicon/blob/master/icons/r/r-original.svg\" title=\"R Language\" alt=\"R\" width=\"40\" height=\"40\"\u003e \u003c/a\u003e \u003cbr\u003e \u003cbr\u003e\n--\u003e Download according to the platform that will be used like Linux, Macos or Windows.\u003cbr\u003e\u003cbr\u003e\n--\u003e Follow the setup wizard.\u003cbr\u003e\n\u003ch2\u003eR Studio\u003c/h2\u003e\n--\u003e Visit the official website: \u003ca href=\"https://www.rstudio.com/categories/rstudio-ide/\"\u003e \u003cimg src=\"https://logos-download.com/wp-content/uploads/2020/06/RStudio_Logo.png\" title=\"R Studio\" alt=\"R Studio\" width=\"40\" height=\"40\"\u003e\u003c/a\u003e \u003cbr\u003e \u003cbr\u003e\n--\u003e Download according to the platform that will be used like Linux, Macos or Windows.\u003cbr\u003e\u003cbr\u003e\n--\u003e Follow the setup wizard.\u003cbr\u003e\u003cbr\u003e\n--\u003e Create a new file with the extention of .r and then this file can be executed in the console.\n\n---\n\n# About Projects\n\u003cp\u003eComplete Description about the project and resources used.\u003c/p\u003e\u003cbr\u003e\n\n![maxresdefault](https://github.com/madhurimarawat/R-Projects/assets/105432776/ca409533-8052-4f66-a814-43816ff0521c)\n\u003cbr\u003e\u003cbr\u003e\n\u003ch2\u003eTwitter Sentimental Analysis\u003c/h2\u003e\nTwitter sentiment analysis analyzes the sentiment or emotion of tweets. \u003cbr\u003e\n\u003ch2\u003eDataset Used\u003c/h2\u003e\n\u003ch3\u003eTweets Dataset\u003c/h3\u003e\n--\u003e The tweets extracted using twitter api are stored in csv file.\u003cbr\u003e \u003cbr\u003e\n--\u003e The csv file is not preprocessed ,thus data cleaning is required.\u003cbr\u003e\n\n\u003ch3\u003eProject\u003c/h3\u003e\n--\u003e In this project sentiment analysis of CSV file containing tweets about Mr. Virat Kohli is done in R.\u003cbr\u003e \u003cbr\u003e\n--\u003e CSV file is cleaned using various predefined functions .\u003cbr\u003e \u003cbr\u003e\n--\u003e Sentiments are extracted using libraries in R. \u003cbr\u003e \u003cbr\u003e\n--\u003e Finally Data Visualizaion is done to represent the analysis in an understandable way.\u003cbr\u003e\n\n\u003ch2\u003eLibraries Used\u003c/h2\u003e\n\u003cp\u003eShort Description about all libraries used in Project.\u003c/p\u003e\nTo install R library this command is used- install.packages(library_name) \u003cbr\u003e\u003cbr\u003e\n\u003cul\u003e\n\u003cli\u003esyuzhet-syuzhet library is used for sentiment extraction or getting the sentiment scores. \u003c/li\u003e\n  \u003cli\u003eSentimentAnalysis-SentimentAnalysis library is used for Sentimental analysis.\u003c/li\u003e\n  \u003cli\u003eggplot2-ggplot2 is used for plotting the final plot of the sentimental analysis.\u003c/li\u003e\n\u003c/ul\u003e\n\n---\n\n## Thanks for Visiting 😄\n\nDrop a 🌟 if you find this repository useful.\u003cbr\u003e\u003cbr\u003e\nIf you have any doubts or suggestions, feel free to reach me.\u003cbr\u003e\u003cbr\u003e\n📫 How to reach me:  \u0026nbsp; [![Linkedin Badge](https://img.shields.io/badge/-madhurima-blue?style=flat\u0026logo=Linkedin\u0026logoColor=white)](https://www.linkedin.com/in/madhurima-rawat/) \u0026nbsp; \u0026nbsp;\n\u003ca href =\"mailto:rawatmadhurima@gmail.com\"\u003e\u003cimg src=\"https://github.com/madhurimarawat/Machine-Learning-Using-Python/assets/105432776/b6a0873a-e961-42c0-8fbf-ab65828c961a\" height=35 width=30 title=\"Mail Illustration\" alt=\"Mail Illustration📫\" \u003e \u003c/a\u003e\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhurimarawat%2Fr-projects","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmadhurimarawat%2Fr-projects","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmadhurimarawat%2Fr-projects/lists"}