In this guided project, you will learn how to import textual data stored in raw text files into R, turn these files into a corpus (a collection of textual documents), and tokenize the text all using the R software package quanteda. You will then learn how to check for words with positive or negative sentiment within the text, and how to plot the proportion of use for these words over time, while stratifying by a third variable. You will also learn how to carry out a targeted sentiment analysis by looking for words with a positive or negative sentiment that are adjacent to relevant keywords or phrases, and how to compare the results of a targeted sentiment analysis with the results of a generic analysis.
Introduction to Sentiment Analysis in R with quanteda
Taught in English
Instructor: Nicole Baerg
Included with
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Recommended experience
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
Skills you'll practice
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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:
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.
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.
Plot the proportion of positive and negative words over time while stratifying by a third variable.
Carry out a targeted sentiment analysis by looking for words with a positive or negative sentiment that are adjacent to relevant keywords.
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.
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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.
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Frequently asked questions
By purchasing a Guided Project, you'll get everything you need to complete the Guided Project including access to a cloud desktop workspace through your web browser that contains the files and software you need to get started, plus step-by-step video instruction from a subject matter expert.
Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.
Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.