Coursera Project Network
Introduction to Sentiment Analysis in R with quanteda
Coursera Project Network

Introduction to Sentiment Analysis in R with quanteda

Taught in English

Nicole Baerg

Instructor: Nicole Baerg

Included with Coursera Plus

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

What you'll learn

  • Run your first generic and targeted sentiment analyses using a dataset of US presidential concession speeches.

  • Visualize sentiment analysis results over time in a plot while stratifying by an additional variable

Details to know

Shareable certificate

Add to your LinkedIn profile

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

Beginner level

Recommended experience

2 hours
Learn at your own pace
No downloads or installation required
Only available on desktop
Hands-on learning

See how employees at top companies are mastering in-demand skills

Placeholder

Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
Placeholder

About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Load text documents into R studio, convert a number of text documents into a corpus, and extract data from text document file names and add them to a new column in a dataframe. 

  2. Split up a text document corpus into tokens, or individual words and punctuations. Check for words in the data that have positive or negative sentiment using the Sentiment Dictionary. 

  3. Plot the proportion of positive and negative words over time while stratifying by a third variable. 

  4. Carry out a targeted sentiment analysis by looking for words with a positive or negative sentiment that are adjacent to relevant keywords.

  5. Compare the sentiment for both generic and targeted sentiment analyses while stratifying by a third variable, plotting the results over time.

Recommended experience

Basic knowledge of the statistical programming language R.

3 project images

Instructor

Nicole Baerg
Coursera Project Network
10 Courses3,257 learners

Offered by

How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions