R - Sentiment Analysis and Wordcloud with R from Twitter Data | Example using Apple Tweets

Provides sentiment analysis and steps for making word clouds with r using tweets about apple obtained from Twitter.
Link to R and csv files: https://github.com/bkrai/R-files-from...
Topics include:
reading data obtained from Twitter in a csv format
cleaning tweets for further analysis
creating term document matrix
making wordcloud, lettercloud, and barplots
sentiment analysis of apple tweets before and after quarterly earnings report

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R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.

0:00 Introduction
0:01 Sentiment Analysis & Wordcloud from Twitter Data in R
0:05 Read File
1:20 Build Corpus
2:27 Clean Text
6:13 Term Document Matrix
9:05 Bar Plot
12:22 Word Cloud
15:03 Interesting Wordcloud options in Wordcloud2
17:22 Sentiment Analysis of Tweets