A Simple Approach to Twitter Sentiment Analysis in R Programming Language
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Updated
Jul 24, 2019 - R
A Simple Approach to Twitter Sentiment Analysis in R Programming Language
Describes developing, deploying and managing R Shiny Server apps on AWS EC2 instances for hosting R Data Science Web apps
A web application made by using ShinyR - a library to develop Web application in R
This is a Shiny app that works with the rtweet package to query the information from twitter. The purpose of this app is to automize the text mining analysis workflow performed in R.
Statistical Calculator is a Shiny web app made with R studio
This project was developed using the skills I learnt during my time as an intern at IBM.
Filling the gaps in climate data
Spot the Dot game implemented in R https://iamnik.shinyapps.io/spotthedot/
The system is implemented to scrape data from a booking website, perform Emotion Analysis on the reviews of the selected hotel and visualized the result over a time axis. R is used to implement the system and Shiny library is used to develop the Front-end.
Single file Shiny app with shinydashboard
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