Module
Collecting, Classifying, and Analyzing Textual Data Using R
Schedule:
- 5 June (09:30 – 15:30)
Fee:
- UIII Participants: free
- Non UIII Participants: Rp250.000
About
Designed for early researchers, this session introduces fundamental concepts and practical techniques in textual data analysis. It will begin with an overview of the characteristics of text- as-data, highlighting what makes it distinct from numerical data, and will provide examples of research questions that textual data can (and cannot) address. Understanding these differences is crucial for effectively leveraging this method in research. The session will then proceed with two parts. First, participants will learn about text preprocessing to clean and prepare imported data so that it is ready for subsequent analysis. Second, they will engage in hands-on exercises to uncover patterns, sentiments, and insights within the text, employing tools and libraries that are available in R. Upon completing the session, participants will have developed the skills to collect, classify, and perform basic textual data analysis using R.
SOFTWARE REQUIREMENT
No prior experience with textual data analysis is required. However, participants are assumed to be familiar with R and to have installed the latest R package on their laptops.
Instructors
Aichiro Suryo Prabowo
Cornell University
Aichiro Suryo Prabowo (Chiro) is a Postdoctoral Fellow in the Southeast Asia Program (SEAP) at Cornell University. His research attempts to bridge two fields within public policy: sustainability and public budgeting/finance. Chiro received his PhD from the University of Maryland and a master’s degree from the University of Chicago, both in public policy. Beyond academia, he has consulted internationally for the World Bank, the USAID, and the Economist Intelligence Unit, and previously served as an associate director at Indonesia’s Presidential Office (UKP4).
