Text Mining and Sentiment Analysis with Tableau and R

Data Science with R and Tableau: Extract valuable info out of Twitter to rock in marketing, finance, or any research.

3.60 (496 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Connect Twitter and R to harvest Tweets for certain keywords

Perform sentiment analysis based on a simple lexicon approach

Clean and process Tweets for further analysis

Export text based data and sentiment scores from R

Use Tableau to visualize sentiment analysis data

Identify situations where sentiment analysis can be applied in a company

Why take this course?

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.'

Reviews

Ali

February 21, 2024

The presentation is clear and direct to point. Especially the conceptualisation and outlining of the steps required for a successful implementation.

Tari

August 13, 2023

The guide to creating a twitter developer account appears to be obsolete as the twitter developer portal is quite different from is described in the video, making it difficult to following. I will rate this below average.

Beatriz

April 29, 2021

I knew nothing about R or Tableau and this course really helped me a lot to keep my project easy and simple.

Andressa

November 7, 2020

Thank you very much. I could follow the explanations very well and apply the to my own data. The instructor speaks very clearly and presents the content in a sistematic way.

MScBennyGirt

April 22, 2018

Very good video presentations. And the course structure makes sense. It is a combination approach with R and Tableau.

Hugh

April 21, 2018

The method shown in the course is quite interesting. I could not find it somewhere else so far. Basically you are combining Tableau and R to get a nice graph and to display the results. Videos are really clear and have a good pace.

Matthew

March 3, 2018

Overall this is very good. I feel there are some small gaps - though they could be inside me - it is never easy to separate one's own deficiencies from the instructor's content. If I don't have a means to extract a .rar file for the lexicon, it's my fault, I suppose. But it's a crucial step that would trip up some basis users. 7-zip got me through it. Overall I like it and the instructor, and that was just one example.

Kevin

January 24, 2018

Great course on how to setup text mining using RStudio, data curation/cleaning, sentiment analysis and how to visualize this data using a Tableau dashboard. Highly recommended!

Jyh-Jiuan

January 14, 2018

This is a great course and well prepared. The instructor is making it easy to learn the R code. The best part is the integration. This course is like a capstone project. It shows one how to do a project from scarping data and clean data, analyze data and visualize data. I am happy that I chose this course , put time and efforts on this course. Many thanks for the instructor. Wonderful job.

Blaze

November 15, 2017

Marten has created another great and very practical course. He has struck a balance between demonstrating complexities in R and moving the analysis to Tableau to illustrate insightful aspects of the data collected from twitter. The approach is lexicon based and Marten has outlined the pros and cons of the approach. I would like to see alternative ways of harvesting twitter content to include emoticons to complement the lexicon approach.

Shama

November 9, 2017

lots of errors in between we get stuck and there is no one to help the course code is too confusing to follow

Robert

November 2, 2017

Overall, the course was really outstanding. Two elements are covered that are so important and difficult to find information: 1. the drawbacks : these are covered in detail, and allow for a thorough defense of the method, if scrutinised by a superior or in an academic setting. 2. Visualisation: really helpful and gives a great overview of Tableau

Mike

October 28, 2017

Speed of delivery was very good, slides in the videos help a lot in understanding the concepts. Course is great for people in marketing.

Bela

October 27, 2017

I think the use case outlined here is relevant in the real world. Instructor videos contain extra slides to follow the code. Much info packed in a few hours.