Text Mining, Scraping and Sentiment Analysis with R
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Text Mining, Scraping and Sentiment Analysis with R

Learn how to use Twitter social media data for your R text mining work.
3.8 (200 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
2,359 students enrolled
Last updated 9/2016
English
Current price: $10 Original price: $95 Discount: 89% off
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Includes:
  • 2.5 hours on-demand video
  • 5 Articles
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • use R for social media mining
  • get data from Twitter to do text analysis
  • perform web scraping tasks using the twitteR package
  • know which packages to use for web scraping
  • get R and Twitter connected
  • know how to perform a sentiment analysis in R
  • plot text data visualizations
View Curriculum
Requirements
  • intermediate R knowledge is required (R Level 1 course)
  • R program ready on your computer
  • basic understanding of social media and web technologies
Description

Are you an advanced R user, looking to expand your R toolbox?

Are you interested in social media sentiment analysis?

Do you want to learn how you can get and use Twitter data for your R analysis?

Do you want to learn how you can systematically find related words (keywords) to a search term using Twitter and R?

Are you interested in creating visualizations like wordclouds out of text data?

Do you want to learn which R packages you can use for web scraping and text analysis purposes?

If YES came to your mind to some of those points – this course might be tailored towards your needs!

This course will teach you anything you need to know about how to handle social media data in R. We will use Twitter data as our example dataset.

During this course we will take a walk through the whole text analysis process of Twitter data.

At first you will learn which packages are available for social media analysis.

You will learn how to scrape social media (Twitter) data and get it into your R session.

After that we will filter, clean and structure our text corpus.

The next step is the visualization of the text data via wordclouds and dendrograms.

And in the last section we will do a whole sentiment analysis by using a common word lexicon.

All of those steps are accompanied by exercise sessions so that you can check if you can put the information to work.

According to the teaching principles of R Tutorials every section is enforced with exercises for a better learning experience. You can download the code pdf of every section to try the presented code on your own.

If you are not yet on an advanced level in R programming, we would highly recommend our R Level 1 course. The Level 1 course covers all the basic coding strategies that are essential for your day to day programming. R features like functions and apply are covered in the Level 1 course and are also needed for this course.

What R you waiting for?

Martin

Who is the target audience?
  • everybody interested in social media analysis
  • everybody interested in using R for web scraping
  • everybody interested in sentiment analysis
  • everybody interested in text analysis
  • everybody interested in enlarging their R toolbox
Students Who Viewed This Course Also Viewed
Curriculum For This Course
34 Lectures
03:01:59
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Introduction
6 Lectures 15:52

Those are the packages you can use in R for natural language processing tasks.

Preview 08:11

Packages for web related tasks like scraping.

Preview 04:47

Course Links
00:27

Course Script
17 pages

This worksheet contains the exercises and solutions. Note that there is also the yahoo finance screenshot for exercise 2 available as download.

Worksheet - Exercises
10 pages
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Scraping and Text Mining
14 Lectures 01:01:38

You will learn how to get a Twitter developer account and which info you need to get from that account.

Twitter Developer Account
04:20

Important: Connection Information
00:35

In this video I will show you the needed R code to get the scraping process going.

Connection of R Studio with Twitter
05:58

Alternative Authentication
03:45

In case the standard way to connect to Twitter does not work, here is an alternative code.

Alternative Authentication Code
00:31

We will use the searchTwitter function to scrape data from Twitter.

Preview 08:50

In this video I will show you how to clean a text corpus (punctuation, space, stopwords) with the "tm" package. We will also do some transformations for easier text mining.

Text Mining with "tm" - Text Cleaning and Transformations
04:39

Let`s plot a wordcloud with our data!

Wordcloud
05:58

In this video I will show you how to get a document term matrix from your corpus. I will also show you how you can extract the most frequent terms from your data.

Document Term Matrix and Frequent Terms
05:32

We will create a dendrogram and we will also identify the term groups in the data.

Dendrogram and Term Groups
03:46

Exercise - Quiz
7 questions

Exercise: Text Mining
02:23

Solution: Text Mining Part 1
06:07

Solution: Text Mining Part 2
06:34

Further R Exercises
02:39
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Working with Strings - gsub and the Regular Expression syntax
8 Lectures 31:03
Regular Expressions and gsub for sentiment analysis - handling of scraped data
00:31

Working with Strings - Introduction
05:45

Working with Strings - gsub
07:42

Working with Strings - gsub advanced
05:23

Regular Expression Overview
2 pages

Working with Strings - Library Stringr
05:10

Exercise and Solution: Strings in R
03:46

Code Section: Strings
02:45
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Sentiment Analysis
6 Lectures 43:47

You will learn the theory behind a sentiment analysis and I will also walk you through a simple example.

Sentiment Analysis Basics
12:01

We will take a closer look at our main function for sentiment analysis.

Score Sentiment Function - J. Breen Approach
07:33

We will get Tweets to compare the sentiment on 4 different countries.

Tweets for Sentiment Analysis
04:13

We will score our Tweets and visualize the data.

Visualizing the Sentiments
05:46

Exercise: Sentiment Analysis
02:06

About the Instructor
R-Tutorials Training
4.4 Average rating
5,050 Reviews
57,758 Students
17 Courses
Data Science Education

R-Tutorials is your provider of choice when it comes to analytics training courses! Try it out – our 50,000+ students love it.

We focus on Data Science tutorials. Offering several R courses for every skill level, we are among Udemy's top R training provider. On top of that courses on Tableau, Excel and a Data Science career guide are available.

All of our courses contain exercises to give you the opportunity to try out the material on your own. You will also get downloadable script pdfs to recap the lessons.

The courses are taught by our main instructor Martin – trained biostatistician and enthusiastic data scientist / R user.

Should you have any questions, you are invited to check out our website, you can open a discussion in the course or you can simply drop us a pm.

We are here to help you boost your career with analytics training – Just learn and enjoy.