This repository contains the projects that I made in the R programming language.
--> R is an open-source programming language that is widely used as a statistical software and data analysis tool.
--> R generally comes with the Command-line interface.
--> R is available across widely used platforms like Windows, Linux, and macOS.
--> R also provides rich Library support.
--> To install R library this command is used-
install.packages(library_name)
--> Visit the official website:
--> Download according to the platform that will be used like Linux, Macos or Windows.
--> Follow the setup wizard.
--> Visit the official website:
--> Download according to the platform that will be used like Linux, Macos or Windows.
--> Follow the setup wizard.
--> Create a new file with the extention of .r and then this file can be executed in the console.
Complete Description about the project and resources used.
Twitter sentiment analysis analyzes the sentiment or emotion of tweets.
--> The tweets extracted using twitter api are stored in csv file.
--> The csv file is not preprocessed ,thus data cleaning is required.
--> In this project sentiment analysis of CSV file containing tweets about Mr. Virat Kohli is done in R.
--> CSV file is cleaned using various predefined functions .
--> Sentiments are extracted using libraries in R.
--> Finally Data Visualizaion is done to represent the analysis in an understandable way.
Short Description about all libraries used in Project.
To install R library this command is used- install.packages(library_name)- syuzhet-syuzhet library is used for sentiment extraction or getting the sentiment scores.
- SentimentAnalysis-SentimentAnalysis library is used for Sentimental analysis.
- ggplot2-ggplot2 is used for plotting the final plot of the sentimental analysis.
Drop a 🌟 if you find this repository useful.
If you have any doubts or suggestions, feel free to reach me.
📫 How to reach me: