Introduction to Text Mining for Social Scientists

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dc.contributor.authorMarahrens, Helge-Johannes
dc.date.accessioned2020-02-14T19:55:40Z
dc.date.available2020-02-14T19:55:40Z
dc.date.issued2020-02-14
dc.descriptionHelge-Johannes Marahrens is a fourth year doctoral student in the department of Sociology at Indiana University. He recently earned an MS in Applied Statistics and is currently working toward a PhD in Sociology. His research interests include cultural consumption, stratification, and computational social science with a particular focus on Natural Language Processing (NLP).
dc.description.abstractTextual 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.
dc.identifier.urihttps://hdl.handle.net/2022/25203
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.relation.urihttps://purl.dlib.indiana.edu/iudl/media/197x61kx9p
dc.titleIntroduction to Text Mining for Social Scientists
dc.typePresentation

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