2020-10-23 (Creation date: 2020-10-23)

Helge-Johannes Marahrens

Textual data are central to the social sciences. However, they often require several pre-processing steps before they can be utilized for statistical analyses. This workshop introduces a range of Python tools to clean, organize, and analyze textual data. It is intended for researchers who are new to working with textual data, but are familiar with Python or have completed the Introduction to Python workshop. Python is best learned hands-on. Python packages: nltk, fuzzywuzzy, re, glob, sklearn, pandas, numpy, matplotlib

IU Workshop in Methods

Workshop in Methods

Social Science Research Commons

Accompanying materials on IU ScholarWorks