Text Mining and Sentiment Analysis with Tableau and R
- 4.8
-
![]()
![]()
![]()
![]()
![]()
Brief Introduction
Data Science with R and Tableau: Extract valuable info out of Twitter to rock in marketing, finance, or any research.Description
Extract valuable info out of Twitter for marketing, finance, academic or professional research and much more.
This course harnesses the upside of R and Tableau to do sentiment analysis on Twitter data. With sentiment analysis you find out if the crowd has a rather positive or negative opinion towards a given search term. This search term can be a product (like in the course) but it can also be a person, region, company or basically anything as long as it is mentioned regularly on Twitter.
While R can directly fetch the text data from Twitter, clean and analyze it, Tableau is great at visualizing the data. And that is the power of the method outlined in this course. You get the best of both worlds, a dream team.
Content overview and course structure:
The R Side
Getting a Twitter developers account
Connection of Twitter and R
Getting the right packages for our approach
Harvesting Tweets and loading them into R
Refining the harvesting approach by language, time, user or geolocation
Handling Twitter meta data like: favorites, retweets, timelines, users, etc
Text cleaning
Sentiment scoring via a simple lexicon approach (in English)
Data export (csv) for further Tableau work
Tableau Side:
Data preparation for visualizations
Quick data exploration
Dashboards
Visualizing -
- Popularity of different products
- Popularity between different locations on a map
- Changes in popularity over time
You only need basic R skills to follow along. There is a free version of Tableau called Tableau public desktop, or even better: as a full time college student you can get a free but full version of Tableau desktop professional.
The course comes with the R code to copy into your R session.
Disclaimer required by Twitter: 'TWITTER, TWEET, RETWEET and the Twitter logo are trademarks of Twitter, Inc or its affiliates.'
Requirements
- Requirements
- You can use either Tableau Public (free) or Tableau Desktop
- You need R and RStudio ready on your machine
- We will create a Twitter developer account (Twitter account required)
- You need basic R skills (course R Basics)
R-Tutorials Training
4.8 Raiting
Text Mining, Scraping and Sentiment Analysis with R
- 3.9
-
![]()
![]()
![]()
![]()
![]()
Learn how to use Twitter social media data for your R text mining work. Are you an advanced R user, looking to expand your R toolbox?...
Data Science:Data Mining & Natural Language Processing in R
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Harness the Power of Machine Learning in R for Data/Text Mining, & Natural Language Processing with Practical Examples ...
Text Mining and NLP using R and Python
- 3.2
-
![]()
![]()
![]()
![]()
![]()
Data Science Text Mining and NLP using R and Python During this course you will be introduced to one of the most important and fast catching up data mining concept....
Foundations of marketing analytics
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts....
