Text Mining in Python for Social Scientists

Simple item page
dc.contributor.authorMarahrens, Helge-Johannes
dc.date.accessioned2020-11-16T15:05:15Z
dc.date.available2020-11-16T15:05:15Z
dc.date.issued2020-10-23
dc.descriptionHelge-Johannes Marahrens is a 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. Python is best learned hands-on. We therefore strongly encourage that users install Python 3 (https://www.python.org/downloads/) and the packages listed below. Helge will be on Zoom at 1pm to help participants with installation issues. Of course, anyone is welcome to join and watch without coding themselves. Python packages: nltk, fuzzywuzzy, re, glob, sklearn, pandas, numpy, matplotlib
dc.identifier.urihttps://hdl.handle.net/2022/25949
dc.language.isoen
dc.publisherIndiana University Workshop in Methods
dc.relation.urihttps://iu.mediaspace.kaltura.com/media/1_7f6mxubf
dc.rightsThis work may be protected by copyright unless otherwise stated.
dc.titleText Mining in Python for Social Scientists
dc.typePresentation

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
2020-10-23_wim_marahrens_text-mining_files.zip
Size:
43.24 KB
Format:
Unknown data format
Description:
Hands-on exercise files
Download

Collections

Workshop in Methods
Can’t use the file because of accessibility barriers? Contact us