Sentiment Analysis with R

Join us for an evening of sentiment analysis! Using different R packages (including tidytext and sentimentr), we'll find positive and negative sentiments in texts, but also more detailed emotions such as surprise or fear.

We'll look at questions such as:
Can we distinguish Shakespeare's comedies from his tragedies by looking at their sentiment scores?
How can we trace sentiment through chapters of a book, or lines of a play?
What are frequent positive and negative words in reviews of this year's hit game Animal Crossing?
Which emotions are expressed in Beyoncé's and Taylor Swift's song lyrics?

We'll learn how to visualise commonly used positive and negative words in comparison clouds (an extension of word clouds) and compare approaches which only look at single words to approaches which take into account negations and other items that can influence the sentiment score.

This meetup will start with a quick review of basic text processing steps, so it's suitable for all levels and you don't need any previous experience with this topic.

You will receive a zoom link within an hour of the event starting, so check your junk mailbox shortly before the event starts if you don't have it yet!