lknelson / measuring_intersectionalityLinks
Code to reproduce the models and analysis in the paper "Leveraging the Alignment between Machine Learning and Intersectionality: Using Word Embeddings to Measure Intersectional Experiences of the Nineteenth Century U.S. South", by Laura K. Nelson
☆16Updated 4 years ago
Alternatives and similar repositories for measuring_intersectionality
Users that are interested in measuring_intersectionality are comparing it to the libraries listed below
Sorting:
- Material for a 3 day workshop on computational text analysis for humanists and social scientists☆34Updated 8 years ago
- Syllabus and material for a semester-long course on text analysis for the social science and humanities.☆31Updated 8 years ago
- ☆26Updated 7 years ago
- Chris Bail's graduate-level computational social science course☆24Updated 4 years ago
- A workshop on analyzing topic modeling (LDA, CTM, STM) using R☆52Updated 7 years ago
- CSSS508: Introduction to R for Social Scientists☆33Updated 4 years ago
- Stanford's Math Camp for 2018☆38Updated 7 years ago
- Text as Data Material for WashU Course☆15Updated 8 years ago
- nytimes: Interacting with New York TImes APIs☆27Updated 7 years ago
- R package associated with Benoit, Munger and Spirling (2017) paper(s)☆43Updated 4 years ago
- Scale ideological slant of Tweets