Introduction
  • Welcome to the R-Tutorials Social Media Mining Course
  • Package Overview: NLP
  • Package Overview: Web Technologies and Services
  • Course Links
  • Course Script
  • Worksheet - Exercises
Scraping and Text Mining
  • Twitter Developer Account
  • Important: Connection Information
  • Code Section: Social Media Mining
  • Connection of R Studio with Twitter
  • Alternative Authentication
  • Alternative Authentication Code
  • Scraping with TwitteR
  • Text Mining with "tm" - Text Cleaning and Transformations
  • Wordcloud
  • Document Term Matrix and Frequent Terms
  • Dendrogram and Term Groups
  • Exercise - Quiz
  • Exercise: Text Mining
  • Solution: Text Mining Part 1
  • Solution: Text Mining Part 2
  • Exercise Code: Text Mining
  • Further R Exercises
Working with Strings - gsub and the Regular Expression syntax
  • Regular Expressions and gsub for sentiment analysis - handling of scraped data
  • Code Section: Strings
  • Working with Strings - Introduction
  • Working with Strings - gsub
  • Working with Strings - gsub advanced
  • Regular Expression Overview
  • Working with Strings - Library Stringr
  • Exercise and Solution: Strings in R
Sentiment Analysis
  • Section Code: Sentiment Analysis
  • Sentiment Analysis Basics
  • Score Sentiment Function - J. Breen Approach
  • Tweets for Sentiment Analysis
  • Visualizing the Sentiments
  • Exercise: Sentiment Analysis
  • Solution: Sentiment Analysis
  • Exercise Code: Sentiment Analysis