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: 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
Machine Learning videos: goo.gl/WHHqWP
Becoming Data Scientist: goo.gl/JWyyQc
Introductory R Videos: goo.gl/NZ55SJ
Deep Learning with TensorFlow: goo.gl/5VtSuC
Image Analysis & Classification: goo.gl/Md3fMi
Text mining: goo.gl/7FJGmd
Data Visualization: goo.gl/Q7Q2A8
Playlist: goo.gl/iwbhnE
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