Text Mining and Sentiment Analysis with Tableau and R

Unlock Powerful Insights from Twitter Data with R and Tableau

Discover how to leverage the vast amount of information available on Twitter for marketing, finance, academic research, and professional analysis. This comprehensive course teaches you how to perform sentiment analysis on Twitter data using the combined power of R and Tableau.

What is Sentiment Analysis?

Sentiment analysis helps you understand the overall feeling – positive, negative, or neutral – surrounding a specific topic. Identify public opinion on products, people, regions, companies, or any subject frequently discussed on Twitter.

The Power of R and Tableau Together

This course provides a powerful workflow:

• R efficiently retrieves, cleans, and analyzes Twitter data.
• Tableau excels at creating compelling visualizations to reveal key trends.

Course Content Overview:

The R Side:

• Getting Started: Setting up a Twitter developer account and connecting it to R.
• Essential Packages: Installing the necessary R packages for Twitter data handling.
• Data Harvesting: Retrieving tweets and importing them into R.
• Advanced Filtering: Refining your data by language, time period, user, or geographic location.
• Metadata Exploration: Accessing and analyzing valuable Twitter metadata, including favorites, retweets, timelines, and user information.
• Text Cleaning: Preparing text data for analysis.
• Sentiment Scoring: Implementing a simple lexicon-based sentiment scoring method (focused on English).
• Data Export: Exporting cleaned data to CSV format for use in Tableau.

The Tableau Side:

• Data Preparation: Preparing the exported data for effective visualization.
• Data Exploration: Quickly exploring the data to identify patterns and insights.
• Interactive Dashboards: Building dynamic dashboards to communicate findings.
• Visualizations:
  • Product Popularity: Visualize the popularity of different products.
  • Geographic Analysis: Map product popularity across different locations.
  • Trend Analysis: Track changes in popularity over time.

Prerequisites:

Basic R skills are required.

Software:

• Tableau Public Desktop: A free version of Tableau is available.
• Tableau Desktop Professional: Full-time college students may qualify for a free, full version.
• R Code: The course provides all necessary R code for easy replication.

Important Note: Twitter's terms of service require a disclaimer: "TWITTER, TWEET, RETWEET and the Twitter logo are trademarks of Twitter, Inc or its affiliates."