Introduction to text analysis and R

• 9:00 am - 9:30 am: Introduction and overview of the seminar: text analysis and its applications in communication science.

• 9:30 am - 10:30 am: Getting started with R: installing packages and working with basic data types and functions, with hands-on exercises.

• 10:30 am - 11:00 am: Coffee Break.

• 11:00 am - 12:30 pm: Basic concepts and principles of text analysis, with hands-on exercises.

• 12:30 pm - 1:30 pm: Lunch.

• 1:30 pm - 3:00 pm: Basic text analysis techniques: using Quanteda for creating and using corpus objects in R and exploring text data (word frequency analysis, collocations, and KWIC), with hands-on exercises using real-world data sets.

• 3:00 pm - 3:30 pm: Coffee Break.

• 3:30 pm - 4:30 pm: Introduction to dictionaries in R: automated sentiment analysis and content analysis, with hands-on exercises.

• 4:30 pm - 5:00 pm: Summary of the day’s topics and key takeaways.