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Introduction to Text Mining for Social Scientists
Date
2019-02-15 (Creation date: 2019-02-15)
Main contributor
Marahrens, Helge-Johannes
Summary
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. Computers with Python pre-loaded are available in the SSRC on a first-come, first-served basis.
Collection
Workshop in Methods
Unit
Social Science Research Commons
Related Items
Accompanying materials on IU ScholarWorks; Accompanying workshop ("Introduction to Python for Social Scientists"); Accompanying workshop ("Introduction to APIs for Social Scientists")
Notes

Performers

Helge-Johannes Marahrens is a third-year doctoral student in the department of Sociology at Indiana University, working toward a PhD in Sociology and an MS in Applied Statistics. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP).