This is a Twitter Sentiment Analysis project using ‘R’ developed by Felipe Solares da Silva to perform a sentiment analysis using the sentimentr package to identify the sentiment from tweets related to a specific Netflix content (series, movies and documentaries, for example).
In order to perform a sentiment analysis using twitter data, first we need to develop a twitter app.
Text retrived from: https://dataaspirant.com/2018/03/22/twitter-sentiment-analysis-using-r/
How to create the Twitter app?
Twitter has made the task of analyzing tweets posted by users easier by developing an API which people can use to extract tweets and underlying metadata.
This API helps us extract twitter data in a very structured format which can then be cleaned and processed further for analysis.
To create a Twitter app, you first need to have a Twitter account. Once you have created a Twitter account, visit https://developer.twitter.com/ and apply for a dev account.
Write the basic details such as application name, description along with a website name. You may enter any test website name as well. Once you have entered these details, you will get keys and access tokens. You will get 4 keys and tokens:
Consumer Key (API Key) Consumer Secret (API Secret) Access Token Access Token Secret
These keys and tokens will be used to extract data from Twitter in R.
Rtweet Package - Retrieved from: http://rtweet.info/
Understanding sentiments around HDB in Singapore: an introduction by Kevin Siswandi 10 June 2017. Retrieved from: http://rstudio-pubs-static.s3.amazonaws.com/283869_04d1ed5678d84af68978cf34661d63cf.html
DSA - Data Science Academy - Big Data Analytics with R and Microsoft Azure class notes. Retrieved from: https://www.datascienceacademy.com.br/course?courseid=analise-de-dados-com-r
Naive Bayes Classification for Sentiment Analysis of Movie Reviews by Rohit Katti 30 April 2016. Retrieved from: https://rpubs.com/cen0te/naivebayes-sentimentpolarity
Twitter API and Developer account - https://developer.twitter.com/